Kin selection subverts mitochondrial transmission bias and allows male mtDNA evolution

Supplementary material

Supplementary methods

Schematics for replacement of the unknown Sxl-GFP nuclear background with the isogenic w¹¹¹⁸ background

Figure S1: Crossing scheme used to create a standard homozygous GFP-w line. Males from this line were crossed with females carrying a specific mitochondrial haplotype, to create experimental mitolines. These newly produced lines carried the mitochondrial haplotype of the female and were heterozygous for the Sxl-GFP construct. G1 = the first generation of the cross.

Data analysis and supplementary results

Here we include all code used to run our analysis, our rationale behind the modelling approaches, and all remaining supplementary tables and figures.

Load packages, read in the data and create some helpful functions

# load relevant packages

library(lme4) # for the lmer and glmer mixed model functions
library(lmerTest) # Used to get p-values for lmer models using simulation. It over-writes lmer() with a new version, which gives p-values
library(glmmTMB) # for zero-inflated glms
library(brms) # for Bayesian models
library(car) # for type III Anova's
library(dplyr) # data re-shaping
library(MuMIn) # for model selection and averaging
library(ggplot2) # for plots
library(ggThemeAssist) # a plot formatting add in
library(ggridges) # for joy plots
library(ggExtra) # for ggplot enhancements - primarily ggMarginal()
library(ggstance) # for ggplot enhancements - can create more horizontal plots
library(ggpubr) # for the ggarrange function
library(ggbeeswarm) # violin plots with data points
library(ggResidpanel) # for model assumption plots
library(kableExtra) # nice tables that can scroll
library(pander) # more nice tables
library(stringr) # helps build functions
library(forcats) # for changing the order of factors

# Read in data frame

all_data <- read.csv("mtDNA_larval_competition_data.csv") %>% 
  arrange(Individual) %>%
  mutate(duplicate = str_extract(Strain, "[:digit:]"))

# Create a function for standard error - generally useful and needed for later

SE <- function(x) sd(x)/sqrt(length(x))

# helper for saving stuff and naming the file object.rds

save_it <- function(object){
  saveRDS(get(object), file = paste(object, ".rds", sep = ""))}

# Define a standard dodge for the error bar plots

pd <- position_dodge(0.75) # move them 0.3 to the left and right


# function for finding CIs for binomial data

get_CIs_for_binomial_trials <- function(success, failure){
  
  output <- as.data.frame(matrix(NA, nrow = length(success), ncol = 5))
  
  for(i in 1:length(success)){
    n <- success[i] + failure[i]
    x <- binom.test(success[i], n)
    output[i,] <- c(x$estimate,
                    as.numeric(x$conf.int),
                    sqrt(x$estimate * (1-x$estimate)/n), # binomial SE = sqrt(p(1-p)/n)
                    n)
  }
  names(output) <- c("Proportion", "lowerCI", "upperCI", "SE", "n")
  output
}
# e.g. get_CIs_for_binomial_trials(survived = c(10,100), died = c(50,30))

Data preparation for all responses

# Clean the dataset up for analysis

# Select the columns we're interested in 

fitness_data <- dplyr::select(all_data, Individual, Block, duplicate,  Replicate, Sex, Focal.haplotype, Social.haplotype, Mortality,  Social.Survival, Development.time..hrs., Day.emerged, Hours.from.lights.on, Wing.size..mm., Female.offspring, Male.offspring, Total.female.assay, Total.red.all.vials, Total.bw.all.vials) %>% 
  rename(Block = Block, Duplicate = duplicate, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Maternal_female_offspring = Female.offspring, Maternal_male_offspring = Male.offspring, Maternal_total_offspring = Total.female.assay, Paternal_focal_offspring = Total.red.all.vials, Patneral_bw_offspring = Total.bw.all.vials)

# Define new levels for mortality to make renaming possible 

levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "NO")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "YES")

# Rename the mortality responses
# L means died as larva, P means died as pupae, N means did not die (i.e. eclosed as an adult)

fitness_data$Survived[fitness_data$Survived == 'L'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'P'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'N'] <- 'YES'

# Now that it makes sense change "YES" to 1 and "NO" to 0 so we can fit a binomial GLM.

levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "1")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "0")

fitness_data$Survived[fitness_data$Survived == "YES"] <- 1
fitness_data$Survived[fitness_data$Survived == "NO"] <- 0

# Make the factor numeric 

fitness_data$Survived <- as.numeric(as.character(fitness_data$Survived))


# Create specific datasets for each fitness trait

# Remove all rows that contain an NA value in the survival column. The NAs mean things like the GFP sorting did not work, or the vial was never even set up due to a shortage of larvae. So they are not meaningful data, and we remove them here. Also remove NA values in the social survival column as the dredge function won't work with these in the dataset.

survival <- fitness_data %>% filter(!is.na(Survived)) %>% filter(!is.na(Social_survival))
  
# Remove all rows that contain an NA value in the development time column. This instances represent flies where we failed to measure development time. 

larval_development <- fitness_data %>% filter(!is.na(Dev_time)) %>% filter(!is.na(Social_survival))

# Remove all rows that contain an NA value in the wing length column. Wing length was not measured in Blocks 1 and 2.

body_size <- fitness_data %>% filter(!is.na(Wing_length)) %>% filter(!is.na(Social_survival))

# Remove all rows that contain an NA value in the female reproductive output column, and where females did not survive to adulthood (coded as producing 0 offspring). 

female_reproductive_output <- fitness_data %>% filter(!is.na(Maternal_total_offspring), Survived == 1) %>% filter(!is.na(Social_survival))


# Male adult fitness

# First remove females from the dataset.

Male_fitness <- all_data %>% filter(!is.na(Total.red.all.vials))

# Create an offspring counted column so that the data is correctly formatted for a binomial model.

Male_fitness$Offspring_counted <- Male_fitness$Total.red.all.vials + Male_fitness$Total.bw.all.vials

# Now lets remove vials where the female produced 0 offspring (this includes trials where the male died in development)

Male_fitness <- Male_fitness %>% filter(!(Offspring_counted == 0))

# Select relevant columns and rename variables 

Male_fitness <- select(Male_fitness, Individual, Block, Focal.haplotype, Social.haplotype, Social.Survival,  Mortality, Development.time..hrs., Day.emerged, Wing.size..mm., Hours.from.lights.on, Total.red.all.vials, Total.bw.all.vials, Offspring_counted,  Proportion.red.all.vials, duplicate) %>% 
  rename(Focal_male_offspring = Total.red.all.vials, Block = Block, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Proportion_focal = Proportion.red.all.vials, Bw_offspring = Total.bw.all.vials, Duplicate = duplicate) %>% 
  filter(!is.na(Social_survival))

Modelling approach

We analysed the data using generalised linear mixed models in the lmer package for R.

Fixed effects

For the analysis of fitness traits expressed in both sexes (survival, development time and body size), we are interested in the effect of an individual’s focal mtDNA, the mtDNA of a social competitor, the effect of a social competitors success, and the effect of sex on fitness. To identify these potential effects each model contained the following fixed effects, and interactions where biologically relevant:

Focal haplotype: the mtDNA haplotype that an individual carries.

Social haplotype: the mtDNA haplotype that a social partner during larval development carries.

Social survival: the survival outcome of the social partner.

Sex: is the focal individual female or male? The social partner will always be of the opposite sex to the focal individual.

We also include:

Duplicate: Each haplotype has been introgressed alongside the w¹¹¹⁸ nuclear background in two independent duplicates. WIthin each block we ran multiple replicates that were split in two: half used only duplicate one will the other half used only duplicate two. This fixed effect accounts for any nuclear differences that may have arisen between duplicates.

Random effects

Block: accounts for differences in the response variable between experimental blocks (e.g. to variance in temperature or composition of the fly food). In our experiment a Block contained multiple replicates and a replicate was made up of 25 different cells each housing a pair of larvae.

Model evaluation

Each model was evaluated via AICc values using the dredge function, from the Mumin package . There was rarely a single model that was unequivocally the best fit to the data, so we conducted model averaging for the set of models where delta was < 6, as suggested by Symonds and Moussalli (2011). The present study is a planned experiment to measure the effect of mtDNA on fitness, so we derived model estimates from the conditional model averages.

Larval fitness measures

Egg to adult viability analysis

We fit a glm with binomial errors to model survival

The model:

Survived ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)

# Fit the global model

survival_model <- lme4::glmer(Survived ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), data = survival, family = "binomial", control = glmerControl(optimizer = "Nelder_Mead", optCtrl=list(maxfun=100000)), na.action = na.fail)

Model evaluation

Table S1: Evaluation of the survivorship model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.

# Compare all possible combinations of models (from the global model)

if(file.exists("survival_dredge.rds")){ # If already done, just load the results
  survival_dredge <- readRDS("survival_dredge.rds")
} else {survival_dredge <- dredge(survival_model)                  # If not already done, run all the models and save the results
lapply(c("survival_dredge"), save_it)
}


survival_table <- subset(survival_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(survival_table)[names(survival_table) == "(Intercept)"] <- "Intercept"
names(survival_table)[names(survival_table) == "factor(Duplicate)"] <- "Duplicate"
names(survival_table)[names(survival_table) == "Focal_haplotype"] <- "Focal haplotype"
names(survival_table)[names(survival_table) == "Sex"] <- "Sex"
names(survival_table)[names(survival_table) == "Social_haplotype"] <- "Social haplotype"
names(survival_table)[names(survival_table) == "Social_survival"] <- "Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(survival_table)[names(survival_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(survival_table)[names(survival_table) == "df"] <- "Degrees of freedom"
names(survival_table)[names(survival_table) == "logLik"] <- "Log likelihood"
names(survival_table)[names(survival_table) == "AICc"] <- "AICc"
names(survival_table)[names(survival_table) == "delta"] <- "Delta"
names(survival_table)[names(survival_table) == "weight"] <- "Weight"

pander(survival_table, split.cell = 40, split.table = Inf)

	Intercept	factor(duplicate)	Focal haplotype	Sex	Social haplotype	Social survival	Focal haplotype x Social haplotype	Focal haplotype x Social survival	Social haplotype x Social survival	Focal haplotype x Social haplotype x Social survival	Degrees of freedom	Log likelihood	AICc	Delta	Weight
18	-0.4939	+	NA	NA	NA	+	NA	NA	NA	NA	5	-1282	2573	0	0.352
22	-0.5348	+	NA	+	NA	+	NA	NA	NA	NA	6	-1281	2575	1.275	0.1861
20	-0.3935	+	+	NA	NA	+	NA	NA	NA	NA	9	-1278	2575	1.48	0.168
24	-0.4334	+	+	+	NA	+	NA	NA	NA	NA	10	-1278	2576	2.796	0.08699
17	-0.6006	NA	NA	NA	NA	+	NA	NA	NA	NA	4	-1284	2577	3.476	0.06193
21	-0.6414	NA	NA	+	NA	+	NA	NA	NA	NA	5	-1284	2578	4.752	0.03272
19	-0.5003	NA	+	NA	NA	+	NA	NA	NA	NA	8	-1281	2578	4.878	0.03071
26	-0.551	+	NA	NA	+	+	NA	NA	NA	NA	9	-1280	2579	5.33	0.0245

Model averaging

Table 1: Conditional model coefficients, standard error and 95% confidence limits are shown for the survivorship to adulthood averaged model. Bold rows indicate signficant effects.

# average the models with delta < 6

Survival_avg <- model.avg(survival_dredge, subset = delta < 6)

survival_CIs <- confint(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()

survival_estimate <- coefTable(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()

survival_model_avg <- data.frame(survival_estimate, survival_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(survival_model_avg)[names(survival_model_avg) == "Estimate"] <- "Conditional average estimate"
names(survival_model_avg)[names(survival_model_avg) == "Std..Error"] <- "Standard Error"
names(survival_model_avg)[names(survival_model_avg) == "X2.5.."] <- "2.5% Interval"
names(survival_model_avg)[names(survival_model_avg) == "X97.5.."] <- "97.5% Interval"


pander(survival_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2:4))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	-0.4923	0.2843	-1.05	0.06491
factor(duplicate)2	-0.2534	0.1086	-0.4662	-0.0406
Social_survivalN	0.5304	0.1129	0.309	0.7517
Social_survivalP	0.8346	0.1454	0.5496	1.12
SexM	0.08128	0.09537	-0.1056	0.2682
Focal_haplotypeBrownsville	-0.07085	0.1493	-0.3634	0.2217
Focal_haplotypeDahomey	0.03746	0.1493	-0.2551	0.3301
Focal_haplotypeIsrael	-0.2839	0.1507	-0.5793	0.0114
Focal_haplotypeSweden	-0.2074	0.1515	-0.5043	0.0895
Social_haplotypeBrownsville	-0.02652	0.1502	-0.321	0.2679
Social_haplotypeDahomey	0.03838	0.1499	-0.2555	0.3323
Social_haplotypeIsrael	0.1995	0.15	-0.0944	0.4935
Social_haplotypeSweden	0.05685	0.1517	-0.2405	0.3542

# The full average provides a parameter average across all models considered, including ones where the parameter coefficient is set to 0. The conditional average reports coefficents for only the models where the parameter is included.

survival_plot_data <- survival %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))


survival_plot_summary <- survival_plot_data %>% 
  dplyr::group_by(Social_survival) %>%
  dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
  as.data.frame()

survival_CIs <- get_CIs_for_binomial_trials(survival_plot_summary$number_surviving, survival_plot_summary$number_died) %>% rename(Survived = Proportion)

survival_plot_summary <- cbind(survival_plot_summary, survival_CIs)

survival_plot_data %>%
  ggplot(aes(x = Social_survival, y = Survived, fill = Social_survival, colour = Social_survival)) +
  #geom_quasirandom(data = survival_plot_data, width = 0.5, alpha =  0.5) +
  scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
  geom_point(data = survival_plot_summary, aes(x = Social_survival, y = Survived), size = 3, colour='black') +
  geom_errorbar(data = survival_plot_summary, aes(x = Social_survival, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "Survival outcome of social partner", y = "Proportion of larvae surviving to adulthood") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 1: Survivorship to adulthood is affected by the success of a social partner. Black points show the mean proportion of larvae that successfully eclosed, with 95% confidence limits.

survival_mtDNA_summary <- survival_plot_data %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
  as.data.frame()

survival_mtDNA_CIs <- get_CIs_for_binomial_trials(survival_mtDNA_summary$number_surviving, survival_mtDNA_summary$number_died) %>% rename(Survived = Proportion)

survival_mtDNA_summary <- cbind(survival_mtDNA_summary, survival_mtDNA_CIs)

survival_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Survived, fill = Focal_haplotype, colour = Focal_haplotype)) +
  #geom_quasirandom(data = survival_plot_data, width = 0.5, alpha =  0.5) +
  #scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = survival_mtDNA_summary, aes(x = Focal_haplotype, y = Survived), size = 3, colour='black') +
  geom_errorbar(data = survival_mtDNA_summary, aes(x = Focal_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "mtDNA haplotype", y = "Proportion of larvae surviving to adulthood") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 2: The black points show the mean proportion of larvae surviving to eclose for each mtDNA haplotype and its 95% confidence limits.

Development time analysis

density_development_plot <- ggplot(larval_development)+
  stat_density_ridges(aes(x=Dev_time, y = NA, fill = Sex), alpha = 0.7, scale = 12, position = position_nudge(y = -0.5), show.legend = T) +
  geom_vline(xintercept = 238, linetype = 2) +
  geom_vline(xintercept = 262, linetype = 2) +
  geom_vline(xintercept = 286, linetype = 2) +
  xlab("Egg-to-adult development time (hours)") +
  ylab("Kernel density estimate") +
  theme_bw()+
   scale_fill_manual(values = c("F" = "#e41a1c", "M" = "#377eb8"), labels = c("Female", "Male")) +
  scale_x_continuous(limits = c(220, 310), breaks = c(220, 230, 240, 250, 260, 270, 280, 290, 300, 310)) +
  scale_y_discrete(expand = c(.0,0.0))+
  theme(panel.spacing = unit(0.1, "lines"),
        text = element_text(size=16),
        panel.border= element_blank(),
        axis.line=element_line(), 
        panel.grid.major.x = element_blank(),
        panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank(),
        axis.title.x = element_text(hjust = 0.5, size = 14))
density_development_plot

Figure S2: The distribution of egg-to-adult development time, split by sex. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.

The response variable has a trimodal distribution, that can be potentially explained by the lab’s artificial day-night cycle. When the lights turn on at 7am, eclosion is stimulated.

The model:

Dev_time ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)

# Fit the linear model

linear_dev_model <- lmer(Dev_time ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), larval_development, na.action = na.fail, REML = FALSE)

Lets have a look at model diagnostics

resid_panel(linear_dev_model)

Despite the data being trimodal, the linear model appears to fit the data adequately. The residuals vs fitted plot indicates that the mean and variance share no relationship. The Q-Q Plot shows that points fall off at the extremes, but generally conform to a linear pattern.

Model evaluation

Table S2: Evaluation of the development time model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.

# Use dredge to compare all possible models derived from the global model

Dev_time_linear_dredge <- dredge(linear_dev_model, extra = "R^2")

development_table <- subset(Dev_time_linear_dredge, delta < 6, recalc.weights = FALSE)  %>% as.data.frame()

names(development_table)[names(development_table) == "(Intercept)"] <- "Intercept"
names(development_table)[names(development_table) == "(factor(Duplicate))"] <- "Duplicate"
names(development_table)[names(development_table) == "Focal_haplotype"] <- "Focal haplotype"
names(development_table)[names(development_table) == "Social_survival"] <- "Social survival"
names(development_table)[names(development_table) == "Social_haplotype"] <- "Social haplotype"
names(development_table)[names(development_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(development_table)[names(development_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(development_table)[names(development_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(development_table)[names(development_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(development_table)[names(development_table) == "df"] <- "Degrees of freedom"
names(development_table)[names(development_table) == "logLik"] <- "Log likelihood"
names(development_table)[names(development_table) == "AICc"] <- "AICc"
names(development_table)[names(development_table) == "delta"] <- "Delta"
names(development_table)[names(development_table) == "weight"] <- "Weight"

pander(development_table, split.cell = 40, split.table = Inf)

	Intercept	factor(Duplicate)	Focal haplotype	Sex	Social haplotype	Social survival	Focal haplotype x Social haplotype	Focal haplotype x Social survival	Social haplotype x Social survival	Focal haplotype x Social haplotype x Social survival	R^2	Degrees of freedom	Log likelihood	AICc	Delta	Weight
21	257.7	NA	NA	+	NA	+	NA	NA	NA	NA	0.1265	6	-2992	5996	0	0.2432
22	258.3	+	NA	+	NA	+	NA	NA	NA	NA	0.1286	7	-2991	5996	0.2766	0.2118
23	259.1	NA	+	+	NA	+	NA	NA	NA	NA	0.1345	10	-2988	5997	1.251	0.1301
24	259.7	+	+	+	NA	+	NA	NA	NA	NA	0.1364	11	-2988	5997	1.656	0.1062
17	258.9	NA	NA	NA	NA	+	NA	NA	NA	NA	0.1199	5	-2995	5999	3.587	0.04047
29	256.7	NA	NA	+	+	+	NA	NA	NA	NA	0.1318	10	-2990	5999	3.651	0.03919
18	259.5	+	NA	NA	NA	+	NA	NA	NA	NA	0.122	6	-2994	6000	3.827	0.03589
30	257.4	+	NA	+	+	+	NA	NA	NA	NA	0.1339	11	-2989	6000	3.898	0.03463
19	260.2	NA	+	NA	NA	+	NA	NA	NA	NA	0.1284	9	-2991	6000	4.528	0.02528
31	258.1	NA	+	+	+	+	NA	NA	NA	NA	0.1401	14	-2986	6001	4.698	0.02322
20	260.8	+	+	NA	NA	+	NA	NA	NA	NA	0.1303	10	-2990	6001	4.909	0.02089
32	258.7	+	+	+	+	+	NA	NA	NA	NA	0.142	15	-2985	6001	5.093	0.01906
88	260.7	+	+	+	NA	+	NA	+	NA	NA	0.151	19	-2981	6001	5.614	0.01469

Model averaging

Table 2: Conditional model coefficients, standard error and 95% confidence limits are shown for the egg-to-adult development time averaged model. Bold rows indicate signficant effects.

# Model averaging

Dev_time_avg <- (model.avg(Dev_time_linear_dredge, subset = delta < 6))

Dev_CIs <- confint(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()

Dev_estimate <- coefTable(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()

Dev_model_avg <- data.frame(Dev_estimate, Dev_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Dev_model_avg)[names(Dev_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Dev_model_avg)[names(Dev_model_avg) == "Std..Error"] <- "Standard Error"
names(Dev_model_avg)[names(Dev_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Dev_model_avg)[names(Dev_model_avg) == "X97.5.."] <- "97.5% Interval"


pander(Dev_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(2:4, 7, 16))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	258.5	2.64	253.4	263.7
SexM	2.208	0.9481	0.3498	4.066
Social_survivalN	4.314	1.297	1.771	6.857
Social_survivalP	4.348	1.456	1.494	7.201
factor(Duplicate)2	-1.417	1.069	-3.513	0.6782
Focal_haplotypeBrownsville	-2.141	1.523	-5.125	0.8435
Focal_haplotypeDahomey	-3.146	1.57	-6.224	-0.06845
Focal_haplotypeIsrael	-2.016	1.701	-5.351	1.318
Focal_haplotypeSweden	0.09168	1.594	-3.032	3.216
Social_haplotypeBrownsville	1.389	1.526	-1.602	4.38
Social_haplotypeDahomey	-0.6548	1.47	-3.536	2.227
Social_haplotypeIsrael	1.805	1.455	-1.046	4.657
Social_haplotypeSweden	1.848	1.488	-1.068	4.763
Focal_haplotypeBrownsville:Social_survivalN	1.68	3.334	-4.854	8.214
Focal_haplotypeDahomey:Social_survivalN	3.709	3.331	-2.82	10.24
Focal_haplotypeIsrael:Social_survivalN	7.56	3.543	0.6156	14.5
Focal_haplotypeSweden:Social_survivalN	0.531	3.426	-6.184	7.246
Focal_haplotypeBrownsville:Social_survivalP	-2.46	4.086	-10.47	5.548
Focal_haplotypeDahomey:Social_survivalP	2.377	3.897	-5.261	10.01
Focal_haplotypeIsrael:Social_survivalP	-3.205	4.225	-11.49	5.075
Focal_haplotypeSweden:Social_survivalP	-3.884	4.396	-12.5	4.732

larval_development_plot_data <- larval_development %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
        Sex = replace(as.character(Sex), Sex == "F", "Female"),
         Sex = replace(as.character(Sex), Sex == "M", "Male"))

larval_development_summary <- larval_development_plot_data %>% 
  dplyr::group_by(Social_survival, Sex) %>%
  dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)


larval_development_plot_data %>%
  ggplot(aes(x = Social_survival, y = Dev_time, fill = Social_survival, colour = Social_survival)) +
  geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
  geom_point(data = larval_development_summary, aes(x = Social_survival, y = Dev_time), size = 3, colour='black') +
  geom_errorbar(data = larval_development_summary, aes(x = Social_survival, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
  facet_wrap(~ Sex) +
  labs(x = "Survival outcome of social partner", y = "Egg-to-adult development time (hrs)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 3: Egg-to-adult development time is affected by an individual’s sex and the success of a social competitor. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.

development_mtDNA_summary <- larval_development_plot_data %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)


larval_development_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Dev_time, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = development_mtDNA_summary, aes(x = Focal_haplotype, y = Dev_time), size = 3, colour='black') +
  geom_errorbar(data = development_mtDNA_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
  labs(x = "mtDNA haplotype", y = "Egg-to-adult development time (hrs)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 4: Egg-to-adult development time is affected by an individual’s mtDNA haplotype. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits.

Adult fitness measures

Body size analysis

We use wing length as a proxy for adult body size. Errors are normally distributed, therefore we fit a linear mixed model.

The model:

Wing_length ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + Duplicate + (1|Block)

body_size_model<- lmer(Wing_length ~ Focal_haplotype * Social_haplotype * Social_survival + Sex + factor(Duplicate) + (1|Block), body_size, na.action = na.fail, REML = FALSE)

Lets have a look at model diagnostics

resid_panel(body_size_model)

Model evaluation

Table S3: Evaluation of the wing length model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the standalone fixed effects sex and duplicate, as well as the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging.

# Compare all possible combinations of models (from the global model)

body_size_dredge <- dredge(body_size_model)

size_table <- subset(body_size_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()


names(size_table)[names(size_table) == "(Intercept)"] <- "Intercept"
names(size_table)[names(size_table) == "factor(Duplicate)"] <- "Duplicate"
names(size_table)[names(size_table) == "Focal_haplotype"] <- "Focal haplotype"
names(size_table)[names(size_table) == "Sex"] <- "Sex"
names(size_table)[names(size_table) == "Social_survival"] <- "Social survival"
names(size_table)[names(size_table) == "Social_haplotype"] <- "Social haplotype"
names(size_table)[names(size_table) == "Focal_haplotype:Social_survival"] <- "Focal haplotype x Social survival"
names(size_table)[names(size_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(size_table)[names(size_table) == "Social_haplotype:Social_survival"] <- "Social haplotype x Social survival"
names(size_table)[names(size_table) == "Focal_haplotype:Social_haplotype:Social_survival"] <- "Focal haplotype x Social haplotype x Social survival"
names(size_table)[names(size_table) == "df"] <- "Degrees of freedom"
names(size_table)[names(size_table) == "logLik"] <- "Log likelihood"
names(size_table)[names(size_table) == "AICc"] <- "AICc"
names(size_table)[names(size_table) == "delta"] <- "Delta"
names(size_table)[names(size_table) == "weight"] <- "Weight"

pander(size_table, split.cell = 40, split.table = Inf)

	Intercept	Duplicate	Focal haplotype	Sex	Social haplotype	Social survival	Focal haplotype x Social haplotype	Focal haplotype x Social survival	Social haplotype x Social survival	Focal haplotype x Social haplotype x Social survival	Degrees of freedom	Log likelihood	AICc	Delta	Weight
21	1.087	NA	NA	+	NA	+	NA	NA	NA	NA	6	447.3	-882.4	0	0.5983
22	1.09	+	NA	+	NA	+	NA	NA	NA	NA	7	447.7	-881.1	1.333	0.3073
23	1.087	NA	+	+	NA	+	NA	NA	NA	NA	10	448.5	-876.5	5.887	0.03151

Model averaging

Table 3: Conditional model coefficients, standard error and 95% confidence limits are shown for the wing length averaged model. Bold rows indicate signficant effects.

# Model averaging

#summary(model.avg(body_size_dredge, subset = delta < 6))

Size_CIs <- confint(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()

Size_estimate <- coefTable(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()

Size_model_avg <- data.frame(Size_estimate, Size_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Size_model_avg)[names(Size_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Size_model_avg)[names(Size_model_avg) == "Std..Error"] <- "Standard Error"
names(Size_model_avg)[names(Size_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Size_model_avg)[names(Size_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Size_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2:4))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	1.088	0.02031	1.049	1.128
SexM	-0.08519	0.007883	-0.1006	-0.06974
Social_survivalN	-0.04614	0.01026	-0.06625	-0.02602
Social_survivalP	-0.04021	0.01117	-0.06211	-0.01831
factor(Duplicate)2	-0.007988	0.009309	-0.02623	0.01026
Focal_haplotypeBrownsville	-0.002269	0.01251	-0.02679	0.02225
Focal_haplotypeDahomey	0.006228	0.01203	-0.01734	0.0298
Focal_haplotypeIsrael	0.008357	0.01249	-0.01611	0.03283
Focal_haplotypeSweden	-0.00919	0.01275	-0.03417	0.01579

body_size_plot_data <- body_size %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
        Sex = replace(as.character(Sex), Sex == "F", "Female"),
         Sex = replace(as.character(Sex), Sex == "M", "Male"))

body_size_summary <- body_size_plot_data %>% 
  dplyr::group_by(Social_survival, Sex) %>%
  dplyr::summarise(Mean_wing_length = mean(Wing_length), Lower = (Mean_wing_length - SE(Wing_length)* 1.96), Upper = (Mean_wing_length + SE(Wing_length)*1.96), n = n()) %>% rename(Wing_length = Mean_wing_length)


body_size_plot_data %>%
  ggplot(aes(x = Social_survival, y = Wing_length, fill = Social_survival, colour = Social_survival)) +
  geom_quasirandom(data = body_size_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
  geom_point(data = body_size_summary, aes(x = Social_survival, y = Wing_length), size = 3, colour='black') +
  geom_errorbar(data = body_size_summary, aes(x = Social_survival, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  facet_wrap(~ Sex) +
  labs(x = "Survival outcome of social partner", y = "Wing length (mm)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 5: Wing length is affected by an individual’s sex and the success of a social competitor. The coloured points show the development time for individual flies. The black points show the mean wing length for males and females and its 95% confidence limits.

Female reproductive output

To effectively accommodate zero-inflation, we modelled female offspring production using the glmmTMB package (Brooks et al. 2017). This package allows us to fit hurdle models and zero-inflated models.

Hurdle models treat zero-count and nonzero outcomes as two completely separate categories, while zero-inflated models treat zero-count outcomes as a mixture of structural and sampling zeros.

We analysed the number of offspring produced by females using a hurdle model with negative binomial errors. This approach allowed us to answer two questions: (1) did mtDNA and/or competition affect the incidence of failing to produce any offspring? and (2) for females that produced at least one offspring, was the number of offspring produced affected by mtDNA/competition?

The model:

Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block)

female_hurdle_model <- glmmTMB(Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block), data = female_reproductive_output, family = list(family="truncated_nbinom1",link="log"), ziformula = ~., na.action = na.fail, REML = FALSE)

Model evaluation

Table S4: Evaluation of the female reproductive output model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the standalone fixed effect ‘duplicate’, and the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging. The zero-inflated results correspond to question (1), while the conditional results correspond to question (2) above.

# Compare all possible combinations of models (from the global model)

if(file.exists("female_dredge.rds")){ # If already done, just load the results
  female_dredge <- readRDS("female_dredge.rds")
} else {female_dredge <- dredge(female_hurdle_model)                  # If not already done, run all the models and save the results
lapply(c("female_dredge"), save_it)
}

female_table <- subset(female_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(female_table)[names(female_table) == "cond((Int))"] <- "Conditional intercept"
names(female_table)[names(female_table) == "zi((Int))"] <- "Zero-inflated intercept"
names(female_table)[names(female_table) == "disp((Int))"] <- "Dispersion factor intercept"
names(female_table)[names(female_table) == "cond(factor(duplicate))"] <- "Conditional (Duplicate)"
names(female_table)[names(female_table) == "cond(Focal_haplotype)"] <- "Conditional (Focal haplotype)"
names(female_table)[names(female_table) == "cond(Social_survival)"] <- "Conditional (Social survival)"
names(female_table)[names(female_table) == "cond(Social_haplotype)"] <- "Conditional (Social haplotype)"
names(female_table)[names(female_table) == "cond(Focal_haplotype:Social_haplotype)"] <- "Conditional (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "cond(Social_haplotype:Social_survival)"] <- "Conditional (Social haplotype x Social survival)"
names(female_table)[names(female_table) == "zi(factor(duplicate))"] <- "Zero-inflated (Duplicate)"
names(female_table)[names(female_table) == "zi(Focal_haplotype)"] <- "Zero-inflated (Focal haplotype)"
names(female_table)[names(female_table) == "zi(Social_survival)"] <- "Zero-inflated (Social survival)"
names(female_table)[names(female_table) == "zi(Social_haplotype)"] <- "Zero-inflated (Social haplotype)"
names(female_table)[names(female_table) == "zi(Focal_haplotype:Social_haplotype)"] <- "Zero-inflated (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "zi(Social_haplotype:Social_survival)"] <- "Zero-inflated (Social haplotype x Social survival)"
names(female_table)[names(female_table) == "df"] <- "Degrees of freedom"
names(female_table)[names(female_table) == "logLik"] <- "Log likelihood"
names(female_table)[names(female_table) == "AICc"] <- "AICc"
names(female_table)[names(female_table) == "delta"] <- "Delta"
names(female_table)[names(female_table) == "weight"] <- "Weight"

pander(female_table, split.cell = 40, split.table = Inf)

	Conditional intercept	Zero-inflated intercept	Dispersion factor intercept	Conditional (Duplicate)	Conditional (Focal haplotype)	Conditional (Social haplotype)	Conditional (Social survival)	Conditional (Focal haplotype x Social haplotype)	Conditional (Social haplotype x Social survival)	Zero-inflated (Duplicate)	Zero-inflated (Focal haplotype)	Zero-inflated (Social haplotype)	Zero-inflated (Social survival)	Zero-inflated (Focal haplotype x Social haplotype)	Zero-inflated (Social haplotype x Social survival)	Degrees of freedom	Log likelihood	AICc	Delta	Weight
331	4.065	-1.398	+	NA	+	NA	+	NA	NA	+	NA	+	NA	NA	NA	16	-1537	3107	0	0.1792
267	4.065	-1.245	+	NA	+	NA	+	NA	NA	NA	NA	+	NA	NA	NA	15	-1539	3108	1.2	0.09833
329	3.999	-1.398	+	NA	NA	NA	+	NA	NA	+	NA	+	NA	NA	NA	12	-1542	3109	1.474	0.08576
843	4.065	-1.641	+	NA	+	NA	+	NA	NA	+	NA	+	+	NA	NA	18	-1536	3109	1.933	0.06819
332	4.061	-1.398	+	+	+	NA	+	NA	NA	+	NA	+	NA	NA	NA	17	-1537	3109	2.144	0.06135
265	3.999	-1.245	+	NA	NA	NA	+	NA	NA	NA	NA	+	NA	NA	NA	11	-1544	3110	2.716	0.04608
75	4.065	-0.9606	+	NA	+	NA	+	NA	NA	+	NA	NA	NA	NA	NA	12	-1543	3110	2.878	0.0425
779	4.065	-1.487	+	NA	+	NA	+	NA	NA	NA	NA	+	+	NA	NA	17	-1537	3110	3.204	0.03611
330	3.987	-1.398	+	+	NA	NA	+	NA	NA	+	NA	+	NA	NA	NA	13	-1542	3110	3.292	0.03455
841	3.999	-1.641	+	NA	NA	NA	+	NA	NA	+	NA	+	+	NA	NA	14	-1541	3110	3.322	0.03404
268	4.061	-1.245	+	+	+	NA	+	NA	NA	NA	NA	+	NA	NA	NA	16	-1539	3110	3.334	0.03384
844	4.061	-1.641	+	+	+	NA	+	NA	NA	+	NA	+	+	NA	NA	19	-1536	3111	4.098	0.02309
73	3.999	-0.9606	+	NA	NA	NA	+	NA	NA	+	NA	NA	NA	NA	NA	8	-1548	3112	4.518	0.01872
266	3.987	-1.245	+	+	NA	NA	+	NA	NA	NA	NA	+	NA	NA	NA	12	-1543	3112	4.524	0.01866
777	3.999	-1.487	+	NA	NA	NA	+	NA	NA	NA	NA	+	+	NA	NA	13	-1542	3112	4.636	0.01765
76	4.061	-0.9606	+	+	+	NA	+	NA	NA	+	NA	NA	NA	NA	NA	13	-1543	3112	4.98	0.01486
842	3.987	-1.641	+	+	NA	NA	+	NA	NA	+	NA	+	+	NA	NA	15	-1541	3112	5.161	0.01357
780	4.061	-1.487	+	+	+	NA	+	NA	NA	NA	NA	+	+	NA	NA	18	-1537	3113	5.359	0.0123
459	4.065	-1.31	+	NA	+	NA	+	NA	NA	+	+	+	NA	NA	NA	20	-1535	3113	5.391	0.0121
11	4.065	-0.783	+	NA	+	NA	+	NA	NA	NA	NA	NA	NA	NA	NA	11	-1545	3113	5.456	0.01171
587	4.065	-1.14	+	NA	+	NA	+	NA	NA	+	NA	NA	+	NA	NA	14	-1542	3113	5.784	0.009938
395	4.065	-1.156	+	NA	+	NA	+	NA	NA	NA	+	+	NA	NA	NA	19	-1537	3113	5.996	0.00894

Model averaging

Table 4: Conditional (after hurdle) and zi (zero-hurdle requirement) model coefficients, standard error and 95% confidence limits are shown for the female offspring production averaged model. Bold rows indicate signficant effects.

#summary(model.avg(female_dredge, subset = delta < 6))

Female_CIs <- confint(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()

Female_estimate <- coefTable(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()

Female_model_avg <- data.frame(Female_estimate, Female_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Female_model_avg)[names(Female_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Female_model_avg)[names(Female_model_avg) == "Std..Error"] <- "Standard Error"
names(Female_model_avg)[names(Female_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Female_model_avg)[names(Female_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Female_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(5:7, 12))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
cond((Int))	4.043	0.08577	3.875	4.211
cond(Focal_haplotypeBrownsville)	-0.1392	0.07869	-0.2934	0.01508
cond(Focal_haplotypeDahomey)	-0.0619	0.07448	-0.2079	0.08408
cond(Focal_haplotypeIsrael)	0.01165	0.07877	-0.1427	0.166
cond(Focal_haplotypeSweden)	-0.2032	0.0811	-0.3622	-0.04424
cond(Social_survivalN)	-0.239	0.06266	-0.3618	-0.1162
cond(Social_survivalP)	-0.2427	0.07728	-0.3942	-0.09124
zi((Int))	-1.356	0.3366	-2.016	-0.6965
zi(factor(duplicate)2)	0.4145	0.2212	-0.01899	0.8481
zi(Social_haplotypeBrownsville)	0.5444	0.3598	-0.1608	1.249
zi(Social_haplotypeDahomey)	0.1914	0.3545	-0.5034	0.8862
zi(Social_haplotypeIsrael)	1.039	0.3373	0.3783	1.7
zi(Social_haplotypeSweden)	0.3964	0.3629	-0.3149	1.108
zi(Social_survivalN)	0.3757	0.2577	-0.1294	0.8807
zi(Social_survivalP)	0.1447	0.3312	-0.5044	0.7938
cond(factor(duplicate)2)	0.01601	0.05657	-0.09486	0.1269
zi(Focal_haplotypeBrownsville)	0.01499	0.3265	-0.625	0.655
zi(Focal_haplotypeDahomey)	-0.2686	0.3341	-0.9233	0.3862
zi(Focal_haplotypeIsrael)	0.2045	0.328	-0.4383	0.8474
zi(Focal_haplotypeSweden)	-0.3776	0.3652	-1.094	0.3382

female_zi_plot_data <- female_reproductive_output %>%
  mutate(Binary_maternal_offspring = ifelse(Maternal_total_offspring > 0, "1", "0"))

female_zi_summary <- female_zi_plot_data %>% 
  dplyr::group_by(Social_haplotype) %>%
  dplyr::summarise(number_producing_offspring = sum(Binary_maternal_offspring == 1), number_zero_offspring = sum(Binary_maternal_offspring == 0)) %>%
  as.data.frame()

female_zi_CIs <- get_CIs_for_binomial_trials(female_zi_summary$number_producing_offspring, female_zi_summary$number_zero_offspring) %>% rename(Binary_maternal_offspring = Proportion)

female_zi_summary <- cbind(female_zi_summary, female_zi_CIs)

female_zi_plot_data %>%
  ggplot(aes(x = Social_haplotype, y = Binary_maternal_offspring, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_point(data = female_zi_summary, aes(x = Social_haplotype, y = Binary_maternal_offspring), size = 3, colour='black') +
  geom_errorbar(data = female_zi_summary, aes(x = Social_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "Social male mtDNA haplotype", y = "Proportion of females producing offspring") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 6: The proportion of females successfully producing offspring is affected by the mtDNA of a social male competitor during larval development. Black points show the mean for each social haplotype and associated confidence intervals. Data corresponds to the hurdle (binomial) component of the hurdle model.

female_cond_plot_data <- female_reproductive_output %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood")) %>%
  filter(Maternal_total_offspring != 0)

female_cond_summary <- female_cond_plot_data %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_offspring = mean(Maternal_total_offspring), Lower = (Mean_offspring - SE(Maternal_total_offspring)* 1.96), Upper = (Mean_offspring + SE(Maternal_total_offspring)*1.96), n = n()) %>% rename(Maternal_total_offspring = Mean_offspring)


female_cond_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Maternal_total_offspring, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = female_cond_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = female_cond_summary, aes(x = Focal_haplotype, y = Maternal_total_offspring), size = 3, colour='black') +
  geom_errorbar(data = female_cond_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Female mtDNA haplotype", y = "Number of offspring produced") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 7: Number of offspring produced by females that produced at least one offspring, split by mitochondrial haplotype. Data corresponds to the conditional component of the hurdle model. Coloured points show the number of offspring produced by individual females. The black points show the mean reproductive output for females and its 95% confidence limits.

Male adult fitness

We follow the classic approach to sperm competition analysis and consider male fitness as the proportion of offspring sired by the mitoline male while competing against a standard bw male.

Here we are measuring male fitness as 1) the ability of a male to inseminate a female in the presence of another male and 2) the competitive ability of his sperm within females that have been inseminated by another male. Zero-count outcomes can therefore arise due to either structural and sampling zeros (or at least processes that are likely to follow different distributions). We use a zero-inflated binomial model.

The Brownsville haplotype renders males sterile alongside the w¹¹¹⁸ nuclear background and sub-fertile alongside all other tested backgrounds. In our experiment, we find that Brownsville males are able to produce offspring but to a very limited capacity. Due to this, our model will not converge with the Brownsville males in the dataset. Therefore, we acknowledge that there is an effect of the Brownsville focal haplotype on male fitness and then remove it from the dataset.

We fit a zero-inflated binomial model:

(focal_male_offspring, Offspring_counted) ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + Duplicate + (1|Individual) + (1|Block)

We fit ‘Individual’ as a random effect to ensure that the proportion of offspring is calculated for each mitoline male, rather than as an overall proportion for each group of males.

Table S5: Anova results from zero-inflated binomial model for male adult fitness.

Male_fitness_without_Brownsville <- Male_fitness %>% filter(Focal_haplotype != "Brownsville") %>% mutate(Individual = 1:n())

# Male_fitness_without_Brownsville$test <- sample(c(0,1), nrow(Male_fitness_without_Brownsville), replace = T)

male_zi_model <- glmmTMB(cbind(Focal_male_offspring, Bw_offspring) ~ Focal_haplotype * Social_haplotype + Social_haplotype * Social_survival + factor(Duplicate) + (1|Block) + (1|Individual), data = Male_fitness_without_Brownsville, family = binomial, ziformula = ~., na.action = na.fail, REML = FALSE, control = glmmTMBControl(optCtrl = list(iter.max = 1000, eval.max = 1000), profile = TRUE, collect = FALSE))

dredge(male_zi_model)

# This returns the following error message:

# Error in as.symbol(opt$response) : 'pairlist' object cannot be coerced to type 'symbol'

if(file.exists("male_dredge.rds")){ # If already done, just load the results
  male_dredge <- readRDS("male_dredge.rds")
} else {male_dredge <- dredge(male_zi_model) # If not already done, run the dredge and save the results
lapply(c("male_dredge"), save_it)
}

Male_table <- subset(male_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

Model averaging

Table 5: Conditional (after hurdle) and zi (zero-hurdle requirement) model coefficients, standard error and 95% confidence limits are shown for the male adult fitness averaged model. Bold rows indicate signficant effects.

#summary(model.avg(male_dredge, subset = delta < 6))

Male_CIs <- confint(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()

Male_estimate <- coefTable(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()

Male_model_avg <- data.frame(Male_estimate, Male_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Male_model_avg)[names(Male_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Male_model_avg)[names(Male_model_avg) == "Std..Error"] <- "Standard Error"
names(Male_model_avg)[names(Male_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Male_model_avg)[names(Male_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Male_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(5:7, 12))

male_plot_data <- Male_fitness %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))

Male_fitness_summary_socialmt <- male_plot_data %>% 
  group_by(Social_haplotype) %>%
  dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)

Male_fitness_summary_focalmt <- male_plot_data %>% 
  group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)


Male_focal_plot <- male_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Proportion_focal, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = male_plot_data, width = 0.3, alpha =  0.5, aes(size = Offspring_counted)) +
  scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, y = Proportion_focal), size = 3, colour='black') +
  geom_errorbar(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Focal mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())


Male_social_plot <- male_plot_data %>%
  ggplot(aes(x = Social_haplotype, y = Proportion_focal, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_quasirandom(data = male_plot_data, width = 0.3, alpha =  0.5, aes(size = Offspring_counted)) +
  scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, y = Proportion_focal), size = 3, colour='black') +
  geom_errorbar(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Social mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

ggarrange(Male_focal_plot, Male_social_plot)

Figure 8: The proportion of offspring produced by focal males competing with standard bw males, split by a) the males mtDNA haplotype and b) the mtDNA haplotype of a social competitor during development. Coloured points represent individual males, with larger points indicating a high number of offspring produced in the vial (sired by either male). Black points show the mean proportion of offspring sired by the focal male, with asssociated 95% confidence intervals. Means are not adjusted for zero inflation.

Raw data and reproducibility

Table of raw data

For completeness, transparency and for purposes of data archiving, we include the raw data in this report.

Table S6: the raw dataset used in the present study.

kable(fitness_data %>% filter(!is.na(Survived)), "html") %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "800px")

Individual	Block	Duplicate	Replicate	Sex	Focal_haplotype	Social_haplotype	Survived	Social_survival	Dev_time	Day	Hours	Wing_length	Maternal_female_offspring	Maternal_male_offspring	Maternal_total_offspring	Paternal_focal_offspring	Patneral_bw_offspring
1	1	1	1	F	Barcelona	Barcelona	1	L	NA	NA	NA	NA	35	24	59	NA	NA
2	1	1	1	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
3	1	1	1	F	Brownsville	Barcelona	1	N	249	10	11	NA	36	45	81	NA	NA
4	1	1	1	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	41
5	1	1	1	F	Dahomey	Barcelona	1	N	249	10	11	NA	17	23	40	NA	NA
6	1	1	1	M	Barcelona	Dahomey	1	N	242	10	4	NA	NA	NA	NA	42	0
7	1	1	1	F	Israel	Barcelona	1	N	NA	NA	NA	NA	0	0	0	NA	NA
8	1	1	1	M	Barcelona	Israel	1	N	242	10	4	NA	NA	NA	NA	32	26
9	1	1	1	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	7	15	22	NA	NA
10	1	1	1	M	Barcelona	Sweden	1	N	267	11	5	NA	NA	NA	NA	0	0
11	1	1	1	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
12	1	1	1	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
15	1	1	1	F	Dahomey	Brownsville	1	N	242	10	4	NA	23	31	54	NA	NA
16	1	1	1	M	Brownsville	Dahomey	1	N	245	10	7	NA	NA	NA	NA	0	63
17	1	1	1	F	Israel	Brownsville	1	N	243	10	5	NA	NA	NA	NA	NA	NA
18	1	1	1	M	Brownsville	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
19	1	1	1	F	Sweden	Brownsville	1	L	266	11	4	NA	26	39	65	NA	NA
20	1	1	1	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
21	1	1	1	F	Barcelona	Dahomey	1	N	NA	NA	NA	NA	8	21	29	NA	NA
22	1	1	1	M	Dahomey	Barcelona	1	N	267	11	5	NA	NA	NA	NA	11	26
23	1	1	1	F	Brownsville	Dahomey	1	N	242	10	4	NA	11	22	33	NA	NA
24	1	1	1	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	13
25	1	1	1	F	Dahomey	Dahomey	1	N	265	11	3	NA	NA	NA	NA	NA	NA
26	1	1	1	M	Dahomey	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	128	0
27	1	1	1	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
28	1	1	1	M	Dahomey	Israel	1	L	248	10	10	NA	NA	NA	NA	163	0
29	1	1	1	F	Sweden	Dahomey	1	N	245	10	7	NA	16	27	43	NA	NA
30	1	1	1	M	Dahomey	Sweden	1	N	248	10	10	NA	NA	NA	NA	105	0
31	1	1	1	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
32	1	1	1	M	Israel	Barcelona	1	L	249	10	11	NA	NA	NA	NA	25	25
38	1	1	1	M	Israel	Israel	1	NA	243	10	5	NA	NA	NA	NA	0	58
41	1	1	1	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA
42	1	1	1	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
43	1	1	1	F	Brownsville	Sweden	1	N	270	11	8	NA	31	22	53	NA	NA
44	1	1	1	M	Sweden	Brownsville	1	N	267	11	5	NA	NA	NA	NA	0	0
45	1	1	1	F	Dahomey	Sweden	1	N	NA	NA	NA	NA	23	32	55	NA	NA
46	1	1	1	M	Sweden	Dahomey	1	N	242	10	4	NA	NA	NA	NA	0	52
47	1	1	1	F	Israel	Sweden	1	N	NA	NA	NA	NA	18	22	40	NA	NA
48	1	1	1	M	Sweden	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	91	14
49	1	1	1	F	Sweden	Sweden	1	N	273	11	11	NA	18	19	37	NA	NA
50	1	1	1	M	Sweden	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	68	4
51	1	1	2	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
52	1	1	2	M	Barcelona	Barcelona	1	L	245	10	7	NA	NA	NA	NA	138	0
53	1	1	2	F	Brownsville	Barcelona	1	N	269	11	7	NA	9	17	26	NA	NA
54	1	1	2	M	Barcelona	Brownsville	1	N	269	11	7	NA	NA	NA	NA	74	0
55	1	1	2	F	Dahomey	Barcelona	1	N	267	11	5	NA	25	19	44	NA	NA
56	1	1	2	M	Barcelona	Dahomey	1	N	283	11	21	NA	NA	NA	NA	0	25
57	1	1	2	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
58	1	1	2	M	Barcelona	Israel	1	P	288	12	2	NA	NA	NA	NA	0	0
59	1	1	2	F	Sweden	Barcelona	1	N	283	11	21	NA	28	19	47	NA	NA
60	1	1	2	M	Barcelona	Sweden	1	N	283	11	21	NA	NA	NA	NA	70	46
61	1	1	2	F	Barcelona	Brownsville	1	N	269	11	7	NA	0	0	0	NA	NA
62	1	1	2	M	Brownsville	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	32
63	1	1	2	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	27	22	49	NA	NA
64	1	1	2	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
65	1	1	2	F	Dahomey	Brownsville	1	P	270	11	8	NA	13	16	29	NA	NA
66	1	1	2	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
67	1	1	2	F	Israel	Brownsville	1	N	273	11	11	NA	0	0	0	NA	NA
68	1	1	2	M	Brownsville	Israel	1	N	270	11	8	NA	NA	NA	NA	0	52
69	1	1	2	F	Sweden	Brownsville	1	N	269	11	7	NA	9	10	19	NA	NA
70	1	1	2	M	Brownsville	Sweden	1	N	271	11	9	NA	NA	NA	NA	0	21
71	1	1	2	F	Barcelona	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA
72	1	1	2	M	Dahomey	Barcelona	1	N	269	11	7	NA	NA	NA	NA	0	0
73	1	1	2	F	Brownsville	Dahomey	1	N	243	10	5	NA	18	29	47	NA	NA
74	1	1	2	M	Dahomey	Brownsville	1	N	248	10	10	NA	NA	NA	NA	0	49
75	1	1	2	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
76	1	1	2	M	Dahomey	Dahomey	1	P	251	10	13	NA	NA	NA	NA	0	0
77	1	1	2	F	Israel	Dahomey	1	N	NA	NA	NA	NA	35	20	55	NA	NA
78	1	1	2	M	Dahomey	Israel	1	N	248	10	10	NA	NA	NA	NA	81	8
79	1	1	2	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
80	1	1	2	M	Dahomey	Sweden	1	L	274	11	12	NA	NA	NA	NA	1	23
81	1	1	2	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
82	1	1	2	M	Israel	Barcelona	1	P	269	11	7	NA	NA	NA	NA	0	55
85	1	1	2	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
86	1	1	2	M	Israel	Dahomey	1	P	267	11	5	NA	NA	NA	NA	200	0
87	1	1	2	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
88	1	1	2	M	Israel	Israel	1	L	248	10	10	NA	NA	NA	NA	0	0
89	1	1	2	F	Sweden	Israel	1	N	288	12	2	NA	0	0	0	NA	NA
90	1	1	2	M	Israel	Sweden	1	N	270	11	8	NA	NA	NA	NA	22	49
91	1	1	2	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	19	34	53	NA	NA
92	1	1	2	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	75	0
93	1	1	2	F	Brownsville	Sweden	1	N	267	11	5	NA	0	0	0	NA	NA
94	1	1	2	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	104	2
95	1	1	2	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
96	1	1	2	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	0	0
99	1	1	2	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
100	1	1	2	M	Sweden	Sweden	1	L	NA	NA	NA	NA	NA	NA	NA	47	0
101	1	1	3	F	Barcelona	Barcelona	1	N	249	10	11	NA	23	27	50	NA	NA
102	1	1	3	M	Barcelona	Barcelona	1	N	249	10	11	NA	NA	NA	NA	0	0
103	1	1	3	F	Brownsville	Barcelona	1	N	269	11	7	NA	0	0	0	NA	NA
104	1	1	3	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	141	15
105	1	1	3	F	Dahomey	Barcelona	1	N	246	10	8	NA	22	21	43	NA	NA
106	1	1	3	M	Barcelona	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	3	27
107	1	1	3	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
108	1	1	3	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
109	1	1	3	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	8	8	16	NA	NA
110	1	1	3	M	Barcelona	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	11	10
111	1	1	3	F	Barcelona	Brownsville	1	L	NA	NA	NA	NA	20	19	39	NA	NA
112	1	1	3	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
113	1	1	3	F	Brownsville	Brownsville	1	P	NA	NA	NA	NA	0	0	0	NA	NA
114	1	1	3	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
117	1	1	3	F	Israel	Brownsville	1	P	NA	NA	NA	NA	0	0	0	NA	NA
118	1	1	3	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
119	1	1	3	F	Sweden	Brownsville	1	L	NA	NA	NA	NA	51	50	101	NA	NA
120	1	1	3	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
121	1	1	3	F	Barcelona	Dahomey	1	N	248	10	10	NA	22	18	40	NA	NA
122	1	1	3	M	Dahomey	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	11
123	1	1	3	F	Brownsville	Dahomey	1	L	NA	NA	NA	NA	0	0	0	NA	NA
124	1	1	3	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
125	1	1	3	F	Dahomey	Dahomey	1	N	NA	NA	NA	NA	23	22	45	NA	NA
126	1	1	3	M	Dahomey	Dahomey	1	N	274	11	12	NA	NA	NA	NA	0	0
127	1	1	3	F	Israel	Dahomey	1	N	274	11	12	NA	0	0	0	NA	NA
128	1	1	3	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	48
130	1	1	3	M	Dahomey	Sweden	1	NA	NA	NA	NA	NA	NA	NA	NA	0	95
133	1	1	3	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
134	1	1	3	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
135	1	1	3	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
136	1	1	3	M	Israel	Dahomey	1	L	NA	NA	NA	NA	NA	NA	NA	94	0
137	1	1	3	F	Israel	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA
138	1	1	3	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
141	1	1	3	F	Barcelona	Sweden	1	N	287	12	1	NA	0	0	0	NA	NA
142	1	1	3	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
143	1	1	3	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
144	1	1	3	M	Sweden	Brownsville	1	L	NA	NA	NA	NA	NA	NA	NA	0	0
147	1	1	3	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
148	1	1	3	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
149	1	1	3	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
150	1	1	3	M	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	93	17
151	1	2	4	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
152	1	2	4	M	Barcelona	Barcelona	1	P	267	11	5	NA	NA	NA	NA	NA	NA
153	1	2	4	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
154	1	2	4	M	Barcelona	Brownsville	1	L	NA	NA	NA	NA	NA	NA	NA	0	117
155	1	2	4	F	Dahomey	Barcelona	1	P	243	10	5	NA	0	0	0	NA	NA
156	1	2	4	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
157	1	2	4	F	Israel	Barcelona	1	N	269	11	7	NA	5	8	13	NA	NA
158	1	2	4	M	Barcelona	Israel	1	N	269	11	7	NA	NA	NA	NA	0	2
159	1	2	4	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
160	1	2	4	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
161	1	2	4	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
162	1	2	4	M	Brownsville	Barcelona	1	P	248	10	10	NA	NA	NA	NA	0	0
163	1	2	4	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
164	1	2	4	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
165	1	2	4	F	Dahomey	Brownsville	1	L	NA	NA	NA	NA	0	0	0	NA	NA
166	1	2	4	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
167	1	2	4	F	Israel	Brownsville	1	N	248	10	10	NA	33	46	79	NA	NA
168	1	2	4	M	Brownsville	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
169	1	2	4	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
170	1	2	4	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
171	1	2	4	F	Barcelona	Dahomey	1	N	248	10	10	NA	28	35	63	NA	NA
172	1	2	4	M	Dahomey	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0
173	1	2	4	F	Brownsville	Dahomey	1	N	NA	NA	NA	NA	18	19	37	NA	NA
174	1	2	4	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	43
175	1	2	4	F	Dahomey	Dahomey	1	L	NA	NA	NA	NA	21	21	42	NA	NA
176	1	2	4	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
177	1	2	4	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
178	1	2	4	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
179	1	2	4	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
180	1	2	4	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
181	1	2	4	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA
182	1	2	4	M	Israel	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	28
183	1	2	4	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
184	1	2	4	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
185	1	2	4	F	Dahomey	Israel	1	L	NA	NA	NA	NA	0	0	0	NA	NA
186	1	2	4	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
187	1	2	4	F	Israel	Israel	1	P	NA	NA	NA	NA	0	0	0	NA	NA
188	1	2	4	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
189	1	2	4	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
190	1	2	4	M	Israel	Sweden	1	L	250	10	12	NA	NA	NA	NA	64	0
191	1	2	4	F	Barcelona	Sweden	1	L	250	10	12	NA	25	30	55	NA	NA
192	1	2	4	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
193	1	2	4	F	Brownsville	Sweden	1	N	NA	NA	NA	NA	30	33	63	NA	NA
194	1	2	4	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	97	2
195	1	2	4	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
196	1	2	4	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	116	2
197	1	2	4	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
198	1	2	4	M	Sweden	Israel	1	P	269	11	7	NA	NA	NA	NA	79	17
199	1	2	4	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
200	1	2	4	M	Sweden	Sweden	1	L	248	10	10	NA	NA	NA	NA	96	0
201	1	2	5	F	Barcelona	Barcelona	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA
202	1	2	5	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
203	1	2	5	F	Brownsville	Barcelona	1	N	243	10	5	NA	15	18	33	NA	NA
204	1	2	5	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	19	51
205	1	2	5	F	Dahomey	Barcelona	1	N	269	11	7	NA	4	6	10	NA	NA
206	1	2	5	M	Barcelona	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	57	8
207	1	2	5	F	Israel	Barcelona	1	N	269	11	7	NA	0	0	0	NA	NA
208	1	2	5	M	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	101
209	1	2	5	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA
210	1	2	5	M	Barcelona	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	79	0
213	1	2	5	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	17	22	39	NA	NA
214	1	2	5	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
215	1	2	5	F	Dahomey	Brownsville	1	N	NA	NA	NA	NA	28	37	65	NA	NA
216	1	2	5	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	34
217	1	2	5	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
218	1	2	5	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
219	1	2	5	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
220	1	2	5	M	Brownsville	Sweden	1	L	274	11	12	NA	NA	NA	NA	0	20
221	1	2	5	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
222	1	2	5	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
223	1	2	5	F	Brownsville	Dahomey	1	N	267	11	5	NA	0	0	0	NA	NA
224	1	2	5	M	Dahomey	Brownsville	1	N	267	11	5	NA	NA	NA	NA	66	0
227	1	2	5	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA
228	1	2	5	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	8
229	1	2	5	F	Sweden	Dahomey	1	N	267	11	5	NA	0	0	0	NA	NA
230	1	2	5	M	Dahomey	Sweden	1	N	269	11	7	NA	NA	NA	NA	0	0
231	1	2	5	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
232	1	2	5	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
233	1	2	5	F	Brownsville	Israel	1	N	248	10	10	NA	0	0	0	NA	NA
234	1	2	5	M	Israel	Brownsville	1	N	267	11	5	NA	NA	NA	NA	47	0
235	1	2	5	F	Dahomey	Israel	1	N	270	11	8	NA	30	31	61	NA	NA
236	1	2	5	M	Israel	Dahomey	1	N	274	11	12	NA	NA	NA	NA	11	0
237	1	2	5	F	Israel	Israel	1	N	248	10	10	NA	23	47	70	NA	NA
238	1	2	5	M	Israel	Israel	1	N	248	10	10	NA	NA	NA	NA	19	0
239	1	2	5	F	Sweden	Israel	1	P	248	10	10	NA	37	46	83	NA	NA
240	1	2	5	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
241	1	2	5	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA
242	1	2	5	M	Sweden	Barcelona	1	N	269	11	7	NA	NA	NA	NA	21	19
243	1	2	5	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
244	1	2	5	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
247	1	2	5	F	Israel	Sweden	1	N	250	10	12	NA	26	17	43	NA	NA
248	1	2	5	M	Sweden	Israel	1	N	267	11	5	NA	NA	NA	NA	0	0
249	1	2	5	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
250	1	2	5	M	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	0	1
251	1	2	6	F	Barcelona	Barcelona	1	N	274	11	12	NA	16	20	36	NA	NA
252	1	2	6	M	Barcelona	Barcelona	1	N	288	12	2	NA	NA	NA	NA	0	74
253	1	2	6	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
254	1	2	6	M	Barcelona	Brownsville	1	L	269	11	7	NA	NA	NA	NA	29	0
255	1	2	6	F	Dahomey	Barcelona	1	L	247	10	9	NA	40	43	83	NA	NA
256	1	2	6	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
257	1	2	6	F	Israel	Barcelona	1	L	NA	NA	NA	NA	35	33	68	NA	NA
258	1	2	6	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
259	1	2	6	F	Sweden	Barcelona	1	P	NA	NA	NA	NA	50	27	77	NA	NA
260	1	2	6	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
261	1	2	6	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
262	1	2	6	M	Brownsville	Barcelona	1	P	267	11	5	NA	NA	NA	NA	0	0
263	1	2	6	F	Brownsville	Brownsville	1	L	NA	NA	NA	NA	38	46	84	NA	NA
264	1	2	6	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
265	1	2	6	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
266	1	2	6	M	Brownsville	Dahomey	1	P	269	11	7	NA	NA	NA	NA	NA	NA
267	1	2	6	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
268	1	2	6	M	Brownsville	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	0	33
269	1	2	6	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
270	1	2	6	M	Brownsville	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	0	0
271	1	2	6	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
272	1	2	6	M	Dahomey	Barcelona	1	L	267	11	5	NA	NA	NA	NA	89	0
273	1	2	6	F	Brownsville	Dahomey	1	L	243	10	5	NA	NA	NA	NA	NA	NA
274	1	2	6	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
275	1	2	6	F	Dahomey	Dahomey	1	N	NA	NA	NA	NA	14	13	27	NA	NA
276	1	2	6	M	Dahomey	Dahomey	1	N	270	11	8	NA	NA	NA	NA	124	0
277	1	2	6	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA
278	1	2	6	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
281	1	2	6	F	Barcelona	Israel	1	L	NA	NA	NA	NA	0	0	0	NA	NA
282	1	2	6	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
283	1	2	6	F	Brownsville	Israel	1	L	250	10	12	NA	0	0	0	NA	NA
284	1	2	6	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
285	1	2	6	F	Dahomey	Israel	1	P	293	12	7	NA	0	0	0	NA	NA
286	1	2	6	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
287	1	2	6	F	Israel	Israel	1	L	250	10	12	NA	0	0	0	NA	NA
288	1	2	6	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
291	1	2	6	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
292	1	2	6	M	Sweden	Barcelona	1	L	269	11	7	NA	NA	NA	NA	18	0
293	1	2	6	F	Brownsville	Sweden	1	N	267	11	5	NA	24	23	47	NA	NA
294	1	2	6	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	64	9
295	1	2	6	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
296	1	2	6	M	Sweden	Dahomey	1	L	267	11	5	NA	NA	NA	NA	69	11
297	1	2	6	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
298	1	2	6	M	Sweden	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	0	45
299	1	2	6	F	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA
300	1	2	6	M	Sweden	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
301	2	1	7	F	Barcelona	Barcelona	1	N	287	12	1	NA	0	0	0	NA	NA
302	2	1	7	M	Barcelona	Barcelona	1	N	289	12	3	NA	NA	NA	NA	110	7
303	2	1	7	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
304	2	1	7	M	Barcelona	Brownsville	1	L	294	12	8	NA	NA	NA	NA	94	0
305	2	1	7	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
306	2	1	7	M	Barcelona	Dahomey	1	L	287	12	1	NA	NA	NA	NA	14	0
307	2	1	7	F	Israel	Barcelona	1	P	272	11	10	NA	NA	NA	NA	NA	NA
308	2	1	7	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
309	2	1	7	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
310	2	1	7	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
311	2	1	7	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
312	2	1	7	M	Brownsville	Barcelona	1	P	290	12	4	NA	NA	NA	NA	0	88
313	2	1	7	F	Brownsville	Brownsville	1	N	269	11	7	NA	36	37	73	NA	NA
314	2	1	7	M	Brownsville	Brownsville	1	N	268	11	6	NA	NA	NA	NA	0	21
315	2	1	7	F	Dahomey	Brownsville	1	N	288	12	2	NA	19	32	51	NA	NA
316	2	1	7	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	88
317	2	1	7	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
318	2	1	7	M	Brownsville	Israel	1	L	286	12	0	NA	NA	NA	NA	18	75
319	2	1	7	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
320	2	1	7	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
321	2	1	7	F	Barcelona	Dahomey	1	N	296	12	10	NA	0	0	0	NA	NA
322	2	1	7	M	Dahomey	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	72
323	2	1	7	F	Brownsville	Dahomey	1	N	298	12	12	NA	19	16	35	NA	NA
324	2	1	7	M	Dahomey	Brownsville	1	N	295	12	9	NA	NA	NA	NA	46	23
325	2	1	7	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
326	2	1	7	M	Dahomey	Dahomey	1	P	286	12	0	NA	NA	NA	NA	0	26
327	2	1	7	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
328	2	1	7	M	Dahomey	Israel	1	L	266	11	4	NA	NA	NA	NA	0	29
329	2	1	7	F	Sweden	Dahomey	1	N	269	11	7	NA	39	24	63	NA	NA
330	2	1	7	M	Dahomey	Sweden	1	N	275	11	13	NA	NA	NA	NA	33	16
331	2	1	7	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
332	2	1	7	M	Israel	Barcelona	1	P	267	11	5	NA	NA	NA	NA	0	6
333	2	1	7	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
334	2	1	7	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
335	2	1	7	F	Dahomey	Israel	1	L	287	12	1	NA	39	28	67	NA	NA
336	2	1	7	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
337	2	1	7	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
338	2	1	7	M	Israel	Israel	1	L	275	11	13	NA	NA	NA	NA	34	10
339	2	1	7	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
340	2	1	7	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
341	2	1	7	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
342	2	1	7	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
343	2	1	7	F	Brownsville	Sweden	1	L	264	11	2	NA	26	32	58	NA	NA
344	2	1	7	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
345	2	1	7	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
346	2	1	7	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	45	1
347	2	1	7	F	Israel	Sweden	1	L	289	12	3	NA	47	41	88	NA	NA
348	2	1	7	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
349	2	1	7	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
350	2	1	7	M	Sweden	Sweden	1	P	269	11	7	NA	NA	NA	NA	12	0
351	2	1	8	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
352	2	1	8	M	Barcelona	Barcelona	1	P	286	12	0	NA	NA	NA	NA	23	37
353	2	1	8	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
354	2	1	8	M	Barcelona	Brownsville	1	P	268	11	6	NA	NA	NA	NA	107	13
355	2	1	8	F	Dahomey	Barcelona	1	N	264	11	2	NA	28	20	48	NA	NA
356	2	1	8	M	Barcelona	Dahomey	1	N	271	11	9	NA	NA	NA	NA	48	0
357	2	1	8	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
358	2	1	8	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
359	2	1	8	F	Sweden	Barcelona	1	L	248	10	10	NA	36	37	73	NA	NA
360	2	1	8	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
361	2	1	8	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
362	2	1	8	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
363	2	1	8	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
364	2	1	8	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
365	2	1	8	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
366	2	1	8	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
367	2	1	8	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
368	2	1	8	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
369	2	1	8	F	Sweden	Brownsville	1	N	268	11	6	NA	2	6	8	NA	NA
370	2	1	8	M	Brownsville	Sweden	1	N	250	10	12	NA	NA	NA	NA	0	69
371	2	1	8	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
372	2	1	8	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
373	2	1	8	F	Brownsville	Dahomey	1	N	271	11	9	NA	26	37	63	NA	NA
374	2	1	8	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
375	2	1	8	F	Dahomey	Dahomey	1	P	245	10	7	NA	9	10	19	NA	NA
376	2	1	8	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
377	2	1	8	F	Israel	Dahomey	1	N	NA	NA	NA	NA	17	22	39	NA	NA
378	2	1	8	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
379	2	1	8	F	Sweden	Dahomey	1	N	286	12	0	NA	24	26	50	NA	NA
380	2	1	8	M	Dahomey	Sweden	1	N	270	11	8	NA	NA	NA	NA	64	28
381	2	1	8	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
382	2	1	8	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
383	2	1	8	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
384	2	1	8	M	Israel	Brownsville	1	P	273	11	11	NA	NA	NA	NA	64	0
385	2	1	8	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
386	2	1	8	M	Israel	Dahomey	1	N	286	12	0	NA	NA	NA	NA	0	49
387	2	1	8	F	Israel	Israel	1	N	269	11	7	NA	0	0	0	NA	NA
388	2	1	8	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
389	2	1	8	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
390	2	1	8	M	Israel	Sweden	1	P	264	11	2	NA	NA	NA	NA	0	0
391	2	1	8	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
392	2	1	8	M	Sweden	Barcelona	1	N	266	11	4	NA	NA	NA	NA	23	5
393	2	1	8	F	Brownsville	Sweden	1	N	271	11	9	NA	0	0	0	NA	NA
394	2	1	8	M	Sweden	Brownsville	1	L	264	11	2	NA	NA	NA	NA	19	0
395	2	1	8	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
396	2	1	8	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
397	2	1	8	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
398	2	1	8	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
399	2	1	8	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
400	2	1	8	M	Sweden	Sweden	1	P	266	11	4	NA	NA	NA	NA	0	0
401	2	1	9	F	Barcelona	Barcelona	1	N	268	11	6	NA	0	0	0	NA	NA
402	2	1	9	M	Barcelona	Barcelona	1	N	266	11	4	NA	NA	NA	NA	59	66
403	2	1	9	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
404	2	1	9	M	Barcelona	Brownsville	1	L	272	11	10	NA	NA	NA	NA	17	0
405	2	1	9	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
406	2	1	9	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
407	2	1	9	F	Israel	Barcelona	1	N	NA	NA	NA	NA	29	17	46	NA	NA
408	2	1	9	M	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	96	0
409	2	1	9	F	Sweden	Barcelona	1	N	287	12	1	NA	18	25	43	NA	NA
410	2	1	9	M	Barcelona	Sweden	1	N	275	11	13	NA	NA	NA	NA	0	50
411	2	1	9	F	Barcelona	Brownsville	1	L	269	11	7	NA	26	26	52	NA	NA
412	2	1	9	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
413	2	1	9	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	26	38	64	NA	NA
414	2	1	9	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	100
415	2	1	9	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
416	2	1	9	M	Brownsville	Dahomey	1	L	270	11	8	NA	NA	NA	NA	0	49
417	2	1	9	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
418	2	1	9	M	Brownsville	Israel	1	L	263	10	1	NA	NA	NA	NA	0	0
419	2	1	9	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
420	2	1	9	M	Brownsville	Sweden	1	L	264	11	2	NA	NA	NA	NA	0	90
421	2	1	9	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
422	2	1	9	M	Dahomey	Barcelona	1	L	283	11	21	NA	NA	NA	NA	57	7
423	2	1	9	F	Brownsville	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
424	2	1	9	M	Dahomey	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
425	2	1	9	F	Dahomey	Dahomey	1	N	266	11	4	NA	26	30	56	NA	NA
426	2	1	9	M	Dahomey	Dahomey	1	N	266	11	4	NA	NA	NA	NA	23	2
427	2	1	9	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
428	2	1	9	M	Dahomey	Israel	1	L	249	10	11	NA	NA	NA	NA	13	68
429	2	1	9	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
430	2	1	9	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
431	2	1	9	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
432	2	1	9	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
433	2	1	9	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
434	2	1	9	M	Israel	Brownsville	1	L	291	12	5	NA	NA	NA	NA	0	55
435	2	1	9	F	Dahomey	Israel	1	L	NA	NA	NA	NA	26	13	39	NA	NA
436	2	1	9	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
439	2	1	9	F	Sweden	Israel	1	L	297	12	11	NA	17	22	39	NA	NA
440	2	1	9	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
441	2	1	9	F	Barcelona	Sweden	1	N	269	11	7	NA	31	19	50	NA	NA
442	2	1	9	M	Sweden	Barcelona	1	N	294	12	8	NA	NA	NA	NA	0	27
443	2	1	9	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
444	2	1	9	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
445	2	1	9	F	Dahomey	Sweden	1	N	262	10	0	NA	35	30	65	NA	NA
446	2	1	9	M	Sweden	Dahomey	1	N	266	11	4	NA	NA	NA	NA	0	34
447	2	1	9	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
448	2	1	9	M	Sweden	Israel	1	L	265	11	3	NA	NA	NA	NA	79	7
449	2	1	9	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
450	2	1	9	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
451	2	1	10	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
452	2	1	10	M	Barcelona	Barcelona	1	P	270	11	8	NA	NA	NA	NA	0	0
453	2	1	10	F	Brownsville	Barcelona	1	L	266	11	4	NA	45	56	101	NA	NA
454	2	1	10	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
455	2	1	10	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
456	2	1	10	M	Barcelona	Dahomey	1	P	277	11	15	NA	NA	NA	NA	59	0
457	2	1	10	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
458	2	1	10	M	Barcelona	Israel	1	P	271	11	9	NA	NA	NA	NA	74	0
461	2	1	10	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
462	2	1	10	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
463	2	1	10	F	Brownsville	Brownsville	1	N	265	11	3	NA	0	0	0	NA	NA
464	2	1	10	M	Brownsville	Brownsville	1	N	265	11	3	NA	NA	NA	NA	0	37
465	2	1	10	F	Dahomey	Brownsville	1	N	286	12	0	NA	17	31	48	NA	NA
466	2	1	10	M	Brownsville	Dahomey	1	N	264	11	2	NA	NA	NA	NA	0	66
467	2	1	10	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
468	2	1	10	M	Brownsville	Israel	1	P	276	11	14	NA	NA	NA	NA	0	0
469	2	1	10	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
470	2	1	10	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
471	2	1	10	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
472	2	1	10	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
473	2	1	10	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
474	2	1	10	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
475	2	1	10	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
476	2	1	10	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
479	2	1	10	F	Sweden	Dahomey	1	L	272	11	10	NA	34	40	74	NA	NA
480	2	1	10	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
481	2	1	10	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
482	2	1	10	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
483	2	1	10	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
484	2	1	10	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
491	2	1	10	F	Barcelona	Sweden	1	P	287	12	1	NA	22	25	47	NA	NA
492	2	1	10	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
493	2	1	10	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
494	2	1	10	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
495	2	1	10	F	Dahomey	Sweden	1	L	270	11	8	NA	38	33	71	NA	NA
496	2	1	10	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
497	2	1	10	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
498	2	1	10	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
499	2	1	10	F	Sweden	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA
500	2	1	10	M	Sweden	Sweden	1	N	294	12	8	NA	NA	NA	NA	0	0
501	2	2	11	F	Barcelona	Barcelona	1	N	246	10	8	NA	25	20	45	NA	NA
502	2	2	11	M	Barcelona	Barcelona	1	N	271	11	9	NA	NA	NA	NA	0	64
503	2	2	11	F	Brownsville	Barcelona	1	N	271	11	9	NA	0	0	0	NA	NA
504	2	2	11	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
507	2	2	11	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
508	2	2	11	M	Barcelona	Israel	1	P	262	10	0	NA	NA	NA	NA	0	80
511	2	2	11	F	Barcelona	Brownsville	1	N	NA	NA	NA	NA	32	25	57	NA	NA
512	2	2	11	M	Brownsville	Barcelona	1	N	270	11	8	NA	NA	NA	NA	0	62
513	2	2	11	F	Brownsville	Brownsville	1	N	261	10	23	NA	31	33	64	NA	NA
514	2	2	11	M	Brownsville	Brownsville	1	N	294	12	8	NA	NA	NA	NA	0	0
515	2	2	11	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
516	2	2	11	M	Brownsville	Dahomey	1	L	264	11	2	NA	NA	NA	NA	0	18
517	2	2	11	F	Israel	Brownsville	1	N	249	10	11	NA	0	0	0	NA	NA
518	2	2	11	M	Brownsville	Israel	1	N	271	11	9	NA	NA	NA	NA	67	16
519	2	2	11	F	Sweden	Brownsville	1	N	306	12	20	NA	0	0	0	NA	NA
520	2	2	11	M	Brownsville	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
521	2	2	11	F	Barcelona	Dahomey	1	N	246	10	8	NA	35	39	74	NA	NA
522	2	2	11	M	Dahomey	Barcelona	1	N	268	11	6	NA	NA	NA	NA	32	0
523	2	2	11	F	Brownsville	Dahomey	1	N	268	11	6	NA	27	31	58	NA	NA
524	2	2	11	M	Dahomey	Brownsville	1	N	263	10	1	NA	NA	NA	NA	58	29
525	2	2	11	F	Dahomey	Dahomey	1	L	246	10	8	NA	0	0	0	NA	NA
526	2	2	11	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
527	2	2	11	F	Israel	Dahomey	1	N	294	12	8	NA	0	0	0	NA	NA
528	2	2	11	M	Dahomey	Israel	1	N	302	12	16	NA	NA	NA	NA	12	82
529	2	2	11	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
530	2	2	11	M	Dahomey	Sweden	1	L	249	10	11	NA	NA	NA	NA	81	0
531	2	2	11	F	Barcelona	Israel	1	N	249	10	11	NA	57	72	129	NA	NA
532	2	2	11	M	Israel	Barcelona	1	N	267	11	5	NA	NA	NA	NA	26	63
533	2	2	11	F	Brownsville	Israel	1	P	298	12	12	NA	0	0	0	NA	NA
534	2	2	11	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
535	2	2	11	F	Dahomey	Israel	1	L	250	10	12	NA	27	33	60	NA	NA
536	2	2	11	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
537	2	2	11	F	Israel	Israel	1	N	244	10	6	NA	33	40	73	NA	NA
538	2	2	11	M	Israel	Israel	1	N	312	13	2	NA	NA	NA	NA	57	34
539	2	2	11	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
540	2	2	11	M	Israel	Sweden	1	P	248	10	10	NA	NA	NA	NA	54	26
541	2	2	11	F	Barcelona	Sweden	1	P	267	11	5	NA	18	20	38	NA	NA
542	2	2	11	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
543	2	2	11	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
544	2	2	11	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
545	2	2	11	F	Dahomey	Sweden	1	P	NA	NA	NA	NA	0	0	0	NA	NA
546	2	2	11	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
547	2	2	11	F	Israel	Sweden	1	N	NA	NA	NA	NA	30	24	54	NA	NA
548	2	2	11	M	Sweden	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	46
549	2	2	11	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
550	2	2	11	M	Sweden	Sweden	1	L	267	11	5	NA	NA	NA	NA	0	0
551	2	2	12	F	Barcelona	Barcelona	1	L	275	11	13	NA	16	19	35	NA	NA
552	2	2	12	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
553	2	2	12	F	Brownsville	Barcelona	1	N	294	12	8	NA	11	13	24	NA	NA
554	2	2	12	M	Barcelona	Brownsville	1	N	267	11	5	NA	NA	NA	NA	0	29
555	2	2	12	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
556	2	2	12	M	Barcelona	Dahomey	1	L	265	11	3	NA	NA	NA	NA	0	0
557	2	2	12	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
558	2	2	12	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
559	2	2	12	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
560	2	2	12	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
561	2	2	12	F	Barcelona	Brownsville	1	N	NA	NA	NA	NA	29	28	57	NA	NA
562	2	2	12	M	Brownsville	Barcelona	1	N	270	11	8	NA	NA	NA	NA	0	0
563	2	2	12	F	Brownsville	Brownsville	1	N	246	10	8	NA	0	0	0	NA	NA
564	2	2	12	M	Brownsville	Brownsville	1	N	266	11	4	NA	NA	NA	NA	0	53
567	2	2	12	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
568	2	2	12	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
569	2	2	12	F	Sweden	Brownsville	1	N	245	10	7	NA	0	0	0	NA	NA
570	2	2	12	M	Brownsville	Sweden	1	N	288	12	2	NA	NA	NA	NA	0	58
571	2	2	12	F	Barcelona	Dahomey	1	N	264	11	2	NA	21	23	44	NA	NA
572	2	2	12	M	Dahomey	Barcelona	1	N	294	12	8	NA	NA	NA	NA	0	0
581	2	2	12	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA
582	2	2	12	M	Israel	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	51	41
583	2	2	12	F	Brownsville	Israel	1	N	NA	NA	NA	NA	7	4	11	NA	NA
584	2	2	12	M	Israel	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	45	1
591	2	2	12	F	Barcelona	Sweden	1	L	244	10	6	NA	55	45	100	NA	NA
592	2	2	12	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
601	3	1	13	F	Barcelona	Barcelona	1	N	260	10	22	1.102	24	34	58	NA	NA
602	3	1	13	M	Barcelona	Barcelona	1	N	258	10	20	1.009	NA	NA	NA	50	0
603	3	1	13	F	Brownsville	Barcelona	1	N	259	10	21	0.988	0	0	0	NA	NA
604	3	1	13	M	Barcelona	Brownsville	1	N	268	11	6	NA	NA	NA	NA	136	13
605	3	1	13	F	Dahomey	Barcelona	1	N	268	11	6	NA	0	0	0	NA	NA
606	3	1	13	M	Barcelona	Dahomey	1	N	269	11	7	0.940	NA	NA	NA	0	26
607	3	1	13	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
608	3	1	13	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
609	3	1	13	F	Sweden	Barcelona	1	N	267	11	5	0.981	17	15	32	NA	NA
610	3	1	13	M	Barcelona	Sweden	1	N	260	10	22	0.820	NA	NA	NA	96	0
611	3	1	13	F	Barcelona	Brownsville	1	N	249	10	11	1.202	40	41	81	NA	NA
612	3	1	13	M	Brownsville	Barcelona	1	N	250	10	12	NA	NA	NA	NA	0	71
615	3	1	13	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
616	3	1	13	M	Brownsville	Dahomey	1	P	268	11	6	NA	NA	NA	NA	0	0
617	3	1	13	F	Israel	Brownsville	1	N	283	11	21	0.969	6	6	12	NA	NA
618	3	1	13	M	Brownsville	Israel	1	N	252	10	14	NA	NA	NA	NA	0	25
619	3	1	13	F	Sweden	Brownsville	1	N	261	10	23	NA	0	0	0	NA	NA
620	3	1	13	M	Brownsville	Sweden	1	N	261	10	23	0.936	NA	NA	NA	0	73
621	3	1	13	F	Barcelona	Dahomey	1	N	267	11	5	0.811	9	11	20	NA	NA
622	3	1	13	M	Dahomey	Barcelona	1	N	264	11	2	NA	NA	NA	NA	6	69
623	3	1	13	F	Brownsville	Dahomey	1	N	266	11	4	NA	19	17	36	NA	NA
624	3	1	13	M	Dahomey	Brownsville	1	N	266	11	4	0.840	NA	NA	NA	45	1
625	3	1	13	F	Dahomey	Dahomey	1	N	246	10	8	1.264	40	31	71	NA	NA
626	3	1	13	M	Dahomey	Dahomey	1	N	268	11	6	0.957	NA	NA	NA	0	120
627	3	1	13	F	Israel	Dahomey	1	N	265	11	3	NA	13	19	32	NA	NA
628	3	1	13	M	Dahomey	Israel	1	N	273	11	11	NA	NA	NA	NA	42	21
629	3	1	13	F	Sweden	Dahomey	1	N	246	10	8	1.179	13	12	25	NA	NA
630	3	1	13	M	Dahomey	Sweden	1	N	245	10	7	1.102	NA	NA	NA	67	0
631	3	1	13	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
632	3	1	13	M	Israel	Barcelona	1	P	248	10	10	1.179	NA	NA	NA	90	0
633	3	1	13	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
634	3	1	13	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
635	3	1	13	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
636	3	1	13	M	Israel	Dahomey	1	P	252	10	14	1.014	NA	NA	NA	72	17
637	3	1	13	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
638	3	1	13	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
639	3	1	13	F	Sweden	Israel	1	N	NA	NA	NA	1.194	25	21	46	NA	NA
640	3	1	13	M	Israel	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
641	3	1	13	F	Barcelona	Sweden	1	N	258	10	20	NA	28	20	48	NA	NA
642	3	1	13	M	Sweden	Barcelona	1	N	260	10	22	1.030	NA	NA	NA	140	0
643	3	1	13	F	Brownsville	Sweden	1	N	252	10	14	1.083	23	22	45	NA	NA
644	3	1	13	M	Sweden	Brownsville	1	N	270	11	8	0.926	NA	NA	NA	0	103
645	3	1	13	F	Dahomey	Sweden	1	L	246	10	8	1.287	0	0	0	NA	NA
646	3	1	13	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
647	3	1	13	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
648	3	1	13	M	Sweden	Israel	1	P	246	10	8	1.139	NA	NA	NA	44	0
649	3	1	13	F	Sweden	Sweden	1	N	244	10	6	1.163	26	32	58	NA	NA
650	3	1	13	M	Sweden	Sweden	1	N	287	12	1	0.951	NA	NA	NA	0	52
651	3	1	14	F	Barcelona	Barcelona	1	P	260	10	22	1.020	35	19	54	NA	NA
652	3	1	14	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
653	3	1	14	F	Brownsville	Barcelona	1	P	256	10	18	1.142	29	29	58	NA	NA
654	3	1	14	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
655	3	1	14	F	Dahomey	Barcelona	1	N	254	10	16	1.176	13	34	47	NA	NA
656	3	1	14	M	Barcelona	Dahomey	1	N	264	11	2	0.982	NA	NA	NA	119	0
657	3	1	14	F	Israel	Barcelona	1	N	273	11	11	1.108	0	0	0	NA	NA
658	3	1	14	M	Barcelona	Israel	1	N	267	11	5	1.033	NA	NA	NA	0	59
661	3	1	14	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
662	3	1	14	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
663	3	1	14	F	Brownsville	Brownsville	1	N	265	11	3	1.039	5	4	9	NA	NA
664	3	1	14	M	Brownsville	Brownsville	1	N	268	11	6	1.012	NA	NA	NA	0	72
665	3	1	14	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
666	3	1	14	M	Brownsville	Dahomey	1	P	250	10	12	1.050	NA	NA	NA	0	0
667	3	1	14	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
668	3	1	14	M	Brownsville	Israel	1	L	243	10	5	1.009	NA	NA	NA	0	32
669	3	1	14	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
670	3	1	14	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
671	3	1	14	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
672	3	1	14	M	Dahomey	Barcelona	1	P	273	11	11	NA	NA	NA	NA	0	57
673	3	1	14	F	Brownsville	Dahomey	1	N	248	10	10	NA	27	24	51	NA	NA
674	3	1	14	M	Dahomey	Brownsville	1	N	253	10	15	NA	NA	NA	NA	0	0
675	3	1	14	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
676	3	1	14	M	Dahomey	Dahomey	1	P	273	11	11	0.964	NA	NA	NA	0	76
677	3	1	14	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
678	3	1	14	M	Dahomey	Israel	1	P	266	11	4	1.030	NA	NA	NA	86	4
679	3	1	14	F	Sweden	Dahomey	1	N	248	10	10	NA	0	0	0	NA	NA
680	3	1	14	M	Dahomey	Sweden	1	N	258	10	20	NA	NA	NA	NA	0	48
681	3	1	14	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
682	3	1	14	M	Israel	Barcelona	1	P	262	10	0	1.050	NA	NA	NA	83	5
683	3	1	14	F	Brownsville	Israel	1	N	261	10	23	1.084	22	23	45	NA	NA
684	3	1	14	M	Israel	Brownsville	1	N	261	10	23	0.975	NA	NA	NA	69	0
685	3	1	14	F	Dahomey	Israel	1	N	259	10	21	1.155	0	0	0	NA	NA
686	3	1	14	M	Israel	Dahomey	1	N	283	11	21	0.931	NA	NA	NA	0	40
687	3	1	14	F	Israel	Israel	1	N	269	11	7	NA	0	0	0	NA	NA
688	3	1	14	M	Israel	Israel	1	N	276	11	14	1.060	NA	NA	NA	138	0
689	3	1	14	F	Sweden	Israel	1	N	271	11	9	1.038	14	15	29	NA	NA
690	3	1	14	M	Israel	Sweden	1	N	274	11	12	1.032	NA	NA	NA	30	6
691	3	1	14	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
692	3	1	14	M	Sweden	Barcelona	1	P	266	11	4	1.035	NA	NA	NA	0	47
693	3	1	14	F	Brownsville	Sweden	1	N	259	10	21	1.106	36	24	60	NA	NA
694	3	1	14	M	Sweden	Brownsville	1	N	253	10	15	1.054	NA	NA	NA	53	6
695	3	1	14	F	Dahomey	Sweden	1	N	270	11	8	NA	0	0	0	NA	NA
696	3	1	14	M	Sweden	Dahomey	1	N	261	10	23	1.074	NA	NA	NA	0	37
697	3	1	14	F	Israel	Sweden	1	N	275	11	13	1.167	32	28	60	NA	NA
698	3	1	14	M	Sweden	Israel	1	N	288	12	2	NA	NA	NA	NA	0	0
699	3	1	14	F	Sweden	Sweden	1	N	249	10	11	1.111	30	26	56	NA	NA
700	3	1	14	M	Sweden	Sweden	1	N	270	11	8	1.072	NA	NA	NA	85	17
701	3	1	15	F	Barcelona	Barcelona	1	P	262	10	0	NA	NA	NA	NA	NA	NA
702	3	1	15	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
703	3	1	15	F	Brownsville	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
704	3	1	15	M	Barcelona	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
705	3	1	15	F	Dahomey	Barcelona	1	N	247	10	9	1.113	15	14	29	NA	NA
706	3	1	15	M	Barcelona	Dahomey	1	N	267	11	5	NA	NA	NA	NA	0	0
707	3	1	15	F	Israel	Barcelona	1	N	258	10	20	1.210	29	18	47	NA	NA
708	3	1	15	M	Barcelona	Israel	1	N	261	10	23	1.137	NA	NA	NA	50	0
709	3	1	15	F	Sweden	Barcelona	1	N	252	10	14	1.057	26	23	49	NA	NA
710	3	1	15	M	Barcelona	Sweden	1	N	249	10	11	1.060	NA	NA	NA	71	13
711	3	1	15	F	Barcelona	Brownsville	1	N	267	11	5	1.074	38	35	73	NA	NA
712	3	1	15	M	Brownsville	Barcelona	1	N	256	10	18	1.082	NA	NA	NA	0	87
713	3	1	15	F	Brownsville	Brownsville	1	L	268	11	6	NA	NA	NA	NA	NA	NA
714	3	1	15	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
715	3	1	15	F	Dahomey	Brownsville	1	N	246	10	8	1.220	0	0	0	NA	NA
716	3	1	15	M	Brownsville	Dahomey	1	N	249	10	11	1.094	NA	NA	NA	0	45
717	3	1	15	F	Israel	Brownsville	1	P	265	11	3	1.105	0	0	0	NA	NA
718	3	1	15	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
719	3	1	15	F	Sweden	Brownsville	1	L	247	10	9	1.285	NA	NA	NA	NA	NA
720	3	1	15	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
721	3	1	15	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
722	3	1	15	M	Dahomey	Barcelona	1	P	258	10	20	1.071	NA	NA	NA	151	1
723	3	1	15	F	Brownsville	Dahomey	1	N	255	10	17	1.178	5	5	10	NA	NA
724	3	1	15	M	Dahomey	Brownsville	1	N	254	10	16	1.087	NA	NA	NA	150	2
725	3	1	15	F	Dahomey	Dahomey	1	N	293	12	7	1.052	21	32	53	NA	NA
726	3	1	15	M	Dahomey	Dahomey	1	N	270	11	8	NA	NA	NA	NA	0	0
727	3	1	15	F	Israel	Dahomey	1	L	265	11	3	1.233	44	32	76	NA	NA
728	3	1	15	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
729	3	1	15	F	Sweden	Dahomey	1	N	266	11	4	NA	20	14	34	NA	NA
730	3	1	15	M	Dahomey	Sweden	1	N	247	10	9	1.060	NA	NA	NA	112	30
731	3	1	15	F	Barcelona	Israel	1	N	260	10	22	1.179	0	0	0	NA	NA
732	3	1	15	M	Israel	Barcelona	1	N	264	11	2	1.038	NA	NA	NA	0	0
733	3	1	15	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
734	3	1	15	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
735	3	1	15	F	Dahomey	Israel	1	P	262	10	0	1.106	26	25	51	NA	NA
736	3	1	15	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
737	3	1	15	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
738	3	1	15	M	Israel	Israel	1	P	256	10	18	1.134	NA	NA	NA	1	3
739	3	1	15	F	Sweden	Israel	1	L	259	10	21	1.214	8	18	26	NA	NA
740	3	1	15	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
741	3	1	15	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
742	3	1	15	M	Sweden	Barcelona	1	L	257	10	19	1.005	NA	NA	NA	73	36
743	3	1	15	F	Brownsville	Sweden	1	N	263	10	1	1.057	31	21	52	NA	NA
744	3	1	15	M	Sweden	Brownsville	1	N	270	11	8	0.928	NA	NA	NA	0	11
745	3	1	15	F	Dahomey	Sweden	1	N	262	10	0	1.068	24	28	52	NA	NA
746	3	1	15	M	Sweden	Dahomey	1	N	271	11	9	NA	NA	NA	NA	0	0
747	3	1	15	F	Israel	Sweden	1	N	278	11	16	1.133	27	30	57	NA	NA
748	3	1	15	M	Sweden	Israel	1	N	261	10	23	NA	NA	NA	NA	59	109
749	3	1	15	F	Sweden	Sweden	1	P	268	11	6	1.140	38	31	69	NA	NA
750	3	1	15	M	Sweden	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
751	3	1	16	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
752	3	1	16	M	Barcelona	Barcelona	1	P	268	11	6	0.926	NA	NA	NA	0	19
753	3	1	16	F	Brownsville	Barcelona	1	L	243	10	5	1.369	0	0	0	NA	NA
754	3	1	16	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
755	3	1	16	F	Dahomey	Barcelona	1	P	264	11	2	NA	0	0	0	NA	NA
756	3	1	16	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
757	3	1	16	F	Israel	Barcelona	1	N	262	10	0	1.202	31	37	68	NA	NA
758	3	1	16	M	Barcelona	Israel	1	N	285	11	23	1.016	NA	NA	NA	0	32
759	3	1	16	F	Sweden	Barcelona	1	N	253	10	15	NA	0	0	0	NA	NA
760	3	1	16	M	Barcelona	Sweden	1	N	289	12	3	NA	NA	NA	NA	0	0
761	3	1	16	F	Barcelona	Brownsville	1	L	259	10	21	1.303	47	53	100	NA	NA
762	3	1	16	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
763	3	1	16	F	Brownsville	Brownsville	1	P	262	10	0	NA	24	11	35	NA	NA
764	3	1	16	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
765	3	1	16	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
766	3	1	16	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
767	3	1	16	F	Israel	Brownsville	1	N	273	11	11	1.174	0	0	0	NA	NA
768	3	1	16	M	Brownsville	Israel	1	N	274	11	12	NA	NA	NA	NA	0	0
769	3	1	16	F	Sweden	Brownsville	1	N	NA	NA	NA	1.086	27	29	56	NA	NA
770	3	1	16	M	Brownsville	Sweden	1	N	NA	NA	NA	0.969	NA	NA	NA	0	11
771	3	1	16	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
772	3	1	16	M	Dahomey	Barcelona	1	P	287	12	1	NA	NA	NA	NA	0	65
773	3	1	16	F	Brownsville	Dahomey	1	P	262	10	0	1.166	37	27	64	NA	NA
774	3	1	16	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
775	3	1	16	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
776	3	1	16	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
777	3	1	16	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
778	3	1	16	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
781	3	1	16	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
782	3	1	16	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
783	3	1	16	F	Brownsville	Israel	1	N	255	10	17	1.190	0	0	0	NA	NA
784	3	1	16	M	Israel	Brownsville	1	N	266	11	4	NA	NA	NA	NA	0	63
785	3	1	16	F	Dahomey	Israel	1	P	260	10	22	1.134	26	31	57	NA	NA
786	3	1	16	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
787	3	1	16	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
788	3	1	16	M	Israel	Israel	1	P	262	10	0	1.116	NA	NA	NA	92	2
789	3	1	16	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
790	3	1	16	M	Israel	Sweden	1	P	273	11	11	NA	NA	NA	NA	0	0
793	3	1	16	F	Brownsville	Sweden	1	L	262	10	0	1.183	13	0	13	NA	NA
794	3	1	16	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
795	3	1	16	F	Dahomey	Sweden	1	P	274	11	12	0.940	27	29	56	NA	NA
796	3	1	16	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
797	3	1	16	F	Israel	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
798	3	1	16	M	Sweden	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
799	3	1	16	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
800	3	1	16	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
801	3	2	17	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
802	3	2	17	M	Barcelona	Barcelona	1	P	255	10	17	NA	NA	NA	NA	0	0
803	3	2	17	F	Brownsville	Barcelona	1	N	244	10	6	1.108	23	20	43	NA	NA
804	3	2	17	M	Barcelona	Brownsville	1	N	249	10	11	NA	NA	NA	NA	0	0
805	3	2	17	F	Dahomey	Barcelona	1	L	265	11	3	1.024	26	29	55	NA	NA
806	3	2	17	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
807	3	2	17	F	Israel	Barcelona	1	N	265	11	3	1.015	20	18	38	NA	NA
808	3	2	17	M	Barcelona	Israel	1	N	264	11	2	0.955	NA	NA	NA	119	0
809	3	2	17	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
810	3	2	17	M	Barcelona	Sweden	1	P	266	11	4	0.956	NA	NA	NA	0	35
811	3	2	17	F	Barcelona	Brownsville	1	P	263	10	1	1.119	18	8	26	NA	NA
812	3	2	17	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
813	3	2	17	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
814	3	2	17	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
815	3	2	17	F	Dahomey	Brownsville	1	P	245	10	7	1.143	31	32	63	NA	NA
816	3	2	17	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
817	3	2	17	F	Israel	Brownsville	1	N	258	10	20	1.172	37	34	71	NA	NA
818	3	2	17	M	Brownsville	Israel	1	N	269	11	7	1.025	NA	NA	NA	67	44
819	3	2	17	F	Sweden	Brownsville	1	N	262	10	0	1.183	20	20	40	NA	NA
820	3	2	17	M	Brownsville	Sweden	1	N	261	10	23	1.006	NA	NA	NA	96	0
821	3	2	17	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
822	3	2	17	M	Dahomey	Barcelona	1	P	257	10	19	NA	NA	NA	NA	0	0
823	3	2	17	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
824	3	2	17	M	Dahomey	Brownsville	1	P	255	10	17	1.068	NA	NA	NA	32	2
825	3	2	17	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
826	3	2	17	M	Dahomey	Dahomey	1	L	263	10	1	NA	NA	NA	NA	8	20
827	3	2	17	F	Israel	Dahomey	1	N	242	10	4	1.094	23	31	54	NA	NA
828	3	2	17	M	Dahomey	Israel	1	N	262	10	0	NA	NA	NA	NA	0	0
829	3	2	17	F	Sweden	Dahomey	1	N	272	11	10	NA	0	0	0	NA	NA
830	3	2	17	M	Dahomey	Sweden	1	N	263	10	1	1.023	NA	NA	NA	121	2
831	3	2	17	F	Barcelona	Israel	1	N	276	11	14	1.123	27	31	58	NA	NA
832	3	2	17	M	Israel	Barcelona	1	N	251	10	13	1.055	NA	NA	NA	83	68
833	3	2	17	F	Brownsville	Israel	1	N	285	11	23	1.013	12	30	42	NA	NA
834	3	2	17	M	Israel	Brownsville	1	N	261	10	23	NA	NA	NA	NA	58	0
835	3	2	17	F	Dahomey	Israel	1	L	271	11	9	1.137	27	23	50	NA	NA
836	3	2	17	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
837	3	2	17	F	Israel	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA
838	3	2	17	M	Israel	Israel	1	N	259	10	21	0.977	NA	NA	NA	0	45
839	3	2	17	F	Sweden	Israel	1	N	267	11	5	1.022	12	23	35	NA	NA
840	3	2	17	M	Israel	Sweden	1	N	258	10	20	1.017	NA	NA	NA	76	0
841	3	2	17	F	Barcelona	Sweden	1	N	257	10	19	NA	0	0	0	NA	NA
842	3	2	17	M	Sweden	Barcelona	1	N	258	10	20	NA	NA	NA	NA	119	0
843	3	2	17	F	Brownsville	Sweden	1	N	264	11	2	1.133	15	18	33	NA	NA
844	3	2	17	M	Sweden	Brownsville	1	N	NA	NA	NA	0.938	NA	NA	NA	0	40
845	3	2	17	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
846	3	2	17	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
847	3	2	17	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
848	3	2	17	M	Sweden	Israel	1	L	283	11	21	0.875	NA	NA	NA	0	56
849	3	2	17	F	Sweden	Sweden	1	N	247	10	9	NA	0	0	0	NA	NA
850	3	2	17	M	Sweden	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
851	3	2	18	F	Barcelona	Barcelona	1	L	267	11	5	NA	37	20	57	NA	NA
852	3	2	18	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
855	3	2	18	F	Dahomey	Barcelona	1	L	247	10	9	1.175	35	30	65	NA	NA
856	3	2	18	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
857	3	2	18	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
858	3	2	18	M	Barcelona	Israel	1	L	263	10	1	1.051	NA	NA	NA	93	15
859	3	2	18	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
860	3	2	18	M	Barcelona	Sweden	1	P	268	11	6	0.949	NA	NA	NA	0	115
861	3	2	18	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
862	3	2	18	M	Brownsville	Barcelona	1	P	268	11	6	1.033	NA	NA	NA	0	94
863	3	2	18	F	Brownsville	Brownsville	1	P	249	10	11	NA	0	0	0	NA	NA
864	3	2	18	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
865	3	2	18	F	Dahomey	Brownsville	1	N	250	10	12	NA	38	38	76	NA	NA
866	3	2	18	M	Brownsville	Dahomey	1	N	263	10	1	NA	NA	NA	NA	0	0
867	3	2	18	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
868	3	2	18	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
869	3	2	18	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
870	3	2	18	M	Brownsville	Sweden	1	P	263	10	1	NA	NA	NA	NA	0	0
871	3	2	18	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
872	3	2	18	M	Dahomey	Barcelona	1	P	249	10	11	NA	NA	NA	NA	0	0
873	3	2	18	F	Brownsville	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
874	3	2	18	M	Dahomey	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
875	3	2	18	F	Dahomey	Dahomey	1	N	249	10	11	NA	0	0	0	NA	NA
876	3	2	18	M	Dahomey	Dahomey	1	N	248	10	10	NA	NA	NA	NA	0	0
877	3	2	18	F	Israel	Dahomey	1	N	264	11	2	NA	0	0	0	NA	NA
878	3	2	18	M	Dahomey	Israel	1	N	257	10	19	NA	NA	NA	NA	0	0
879	3	2	18	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
880	3	2	18	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
881	3	2	18	F	Barcelona	Israel	1	N	252	10	14	NA	0	0	0	NA	NA
882	3	2	18	M	Israel	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0
883	3	2	18	F	Brownsville	Israel	1	P	247	10	9	NA	0	0	0	NA	NA
884	3	2	18	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
885	3	2	18	F	Dahomey	Israel	1	N	241	10	3	1.142	0	0	0	NA	NA
886	3	2	18	M	Israel	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	56
887	3	2	18	F	Israel	Israel	1	N	247	10	9	NA	0	0	0	NA	NA
888	3	2	18	M	Israel	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
889	3	2	18	F	Sweden	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
890	3	2	18	M	Israel	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
891	3	2	18	F	Barcelona	Sweden	1	N	263	10	1	1.052	29	26	55	NA	NA
892	3	2	18	M	Sweden	Barcelona	1	N	263	10	1	1.004	NA	NA	NA	137	0
893	3	2	18	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
894	3	2	18	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
895	3	2	18	F	Dahomey	Sweden	1	P	264	11	2	NA	0	0	0	NA	NA
896	3	2	18	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
897	3	2	18	F	Israel	Sweden	1	N	255	10	17	NA	0	0	0	NA	NA
898	3	2	18	M	Sweden	Israel	1	N	247	10	9	1.086	NA	NA	NA	95	12
899	3	2	18	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
900	3	2	18	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
901	3	2	19	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
902	3	2	19	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
903	3	2	19	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
904	3	2	19	M	Barcelona	Brownsville	1	P	287	12	1	0.913	NA	NA	NA	0	57
905	3	2	19	F	Dahomey	Barcelona	1	P	248	10	10	1.170	8	11	19	NA	NA
906	3	2	19	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
907	3	2	19	F	Israel	Barcelona	1	N	261	10	23	1.252	51	42	93	NA	NA
908	3	2	19	M	Barcelona	Israel	1	N	251	10	13	NA	NA	NA	NA	92	7
909	3	2	19	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
910	3	2	19	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
911	3	2	19	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
912	3	2	19	M	Brownsville	Barcelona	1	P	260	10	22	1.056	NA	NA	NA	67	11
913	3	2	19	F	Brownsville	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
914	3	2	19	M	Brownsville	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
915	3	2	19	F	Dahomey	Brownsville	1	P	NA	NA	NA	1.023	6	11	17	NA	NA
916	3	2	19	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
917	3	2	19	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
918	3	2	19	M	Brownsville	Israel	1	P	267	11	5	1.110	NA	NA	NA	50	18
919	3	2	19	F	Sweden	Brownsville	1	P	290	12	4	0.979	22	16	38	NA	NA
920	3	2	19	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
921	3	2	19	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
922	3	2	19	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
923	3	2	19	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
924	3	2	19	M	Dahomey	Brownsville	1	P	265	11	3	1.088	NA	NA	NA	0	21
925	3	2	19	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
926	3	2	19	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
927	3	2	19	F	Israel	Dahomey	1	N	290	12	4	0.955	37	23	60	NA	NA
928	3	2	19	M	Dahomey	Israel	1	N	256	10	18	1.051	NA	NA	NA	15	18
929	3	2	19	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
930	3	2	19	M	Dahomey	Sweden	1	P	259	10	21	NA	NA	NA	NA	2	25
931	3	2	19	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
932	3	2	19	M	Israel	Barcelona	1	P	251	10	13	0.964	NA	NA	NA	69	0
933	3	2	19	F	Brownsville	Israel	1	N	267	11	5	1.126	29	27	56	NA	NA
934	3	2	19	M	Israel	Brownsville	1	N	285	11	23	1.005	NA	NA	NA	0	28
935	3	2	19	F	Dahomey	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
936	3	2	19	M	Israel	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
937	3	2	19	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
938	3	2	19	M	Israel	Israel	1	P	255	10	17	1.122	NA	NA	NA	83	29
939	3	2	19	F	Sweden	Israel	1	P	262	10	0	0.991	17	21	38	NA	NA
940	3	2	19	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
941	3	2	19	F	Barcelona	Sweden	1	L	262	10	0	1.204	31	39	70	NA	NA
942	3	2	19	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
943	3	2	19	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
944	3	2	19	M	Sweden	Brownsville	1	P	281	11	19	0.983	NA	NA	NA	0	24
945	3	2	19	F	Dahomey	Sweden	1	P	260	10	22	1.133	9	14	23	NA	NA
946	3	2	19	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
947	3	2	19	F	Israel	Sweden	1	P	256	10	18	1.217	29	38	67	NA	NA
948	3	2	19	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
951	3	2	20	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
952	3	2	20	M	Barcelona	Barcelona	1	P	283	11	21	NA	NA	NA	NA	0	24
961	3	2	20	F	Barcelona	Brownsville	1	N	268	11	6	1.019	0	0	0	NA	NA
962	3	2	20	M	Brownsville	Barcelona	1	N	262	10	0	0.965	NA	NA	NA	0	33
963	3	2	20	F	Brownsville	Brownsville	1	N	284	11	22	NA	21	24	45	NA	NA
964	3	2	20	M	Brownsville	Brownsville	1	N	250	10	12	1.086	NA	NA	NA	48	10
965	3	2	20	F	Dahomey	Brownsville	1	P	270	11	8	0.986	23	35	58	NA	NA
966	3	2	20	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
967	3	2	20	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
968	3	2	20	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
969	3	2	20	F	Sweden	Brownsville	1	P	249	10	11	NA	0	0	0	NA	NA
970	3	2	20	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
971	3	2	20	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
972	3	2	20	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
973	3	2	20	F	Brownsville	Dahomey	1	N	266	11	4	1.133	0	0	0	NA	NA
974	3	2	20	M	Dahomey	Brownsville	1	N	248	10	10	NA	NA	NA	NA	0	0
975	3	2	20	F	Dahomey	Dahomey	1	N	264	11	2	1.075	10	11	21	NA	NA
976	3	2	20	M	Dahomey	Dahomey	1	N	265	11	3	0.992	NA	NA	NA	0	12
977	3	2	20	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA
978	3	2	20	M	Dahomey	Israel	1	N	NA	NA	NA	1.041	NA	NA	NA	89	18
979	3	2	20	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
980	3	2	20	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
981	3	2	20	F	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA
982	3	2	20	M	Israel	Barcelona	1	N	NA	NA	NA	0.883	NA	NA	NA	0	42
983	3	2	20	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
984	3	2	20	M	Israel	Brownsville	1	P	297	12	11	NA	NA	NA	NA	0	0
985	3	2	20	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
986	3	2	20	M	Israel	Dahomey	1	L	264	11	2	NA	NA	NA	NA	107	0
987	3	2	20	F	Israel	Israel	1	N	272	11	10	1.110	26	23	49	NA	NA
988	3	2	20	M	Israel	Israel	1	N	268	11	6	0.999	NA	NA	NA	47	1
989	3	2	20	F	Sweden	Israel	1	L	261	10	23	1.190	34	35	69	NA	NA
990	3	2	20	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1001	4	1	21	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1002	4	1	21	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1003	4	1	21	F	Brownsville	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1004	4	1	21	M	Barcelona	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1005	4	1	21	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1006	4	1	21	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1007	4	1	21	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1008	4	1	21	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1009	4	1	21	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1010	4	1	21	M	Barcelona	Sweden	1	P	247	10	9	0.939	NA	NA	NA	0	49
1011	4	1	21	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1012	4	1	21	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1013	4	1	21	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1014	4	1	21	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1015	4	1	21	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1016	4	1	21	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1017	4	1	21	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1018	4	1	21	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1019	4	1	21	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1020	4	1	21	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1021	4	1	21	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1022	4	1	21	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1023	4	1	21	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1024	4	1	21	M	Dahomey	Brownsville	1	P	246	10	8	0.879	NA	NA	NA	0	6
1025	4	1	21	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1026	4	1	21	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1027	4	1	21	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1028	4	1	21	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1029	4	1	21	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1030	4	1	21	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1031	4	1	21	F	Barcelona	Israel	1	N	246	10	8	1.001	13	13	26	NA	NA
1032	4	1	21	M	Israel	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0
1033	4	1	21	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1034	4	1	21	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1035	4	1	21	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1036	4	1	21	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1037	4	1	21	F	Israel	Israel	1	P	246	10	8	NA	0	0	0	NA	NA
1038	4	1	21	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1039	4	1	21	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1040	4	1	21	M	Israel	Sweden	1	L	NA	NA	NA	1.059	NA	NA	NA	90	3
1041	4	1	21	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1042	4	1	21	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1043	4	1	21	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1044	4	1	21	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1045	4	1	21	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1046	4	1	21	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1047	4	1	21	F	Israel	Sweden	1	L	247	10	9	NA	25	22	47	NA	NA
1048	4	1	21	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1049	4	1	21	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1050	4	1	21	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1051	4	1	22	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1052	4	1	22	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1053	4	1	22	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1054	4	1	22	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1055	4	1	22	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1056	4	1	22	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1057	4	1	22	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1058	4	1	22	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1059	4	1	22	F	Sweden	Barcelona	1	N	271	11	9	NA	0	0	0	NA	NA
1060	4	1	22	M	Barcelona	Sweden	1	N	271	11	9	NA	NA	NA	NA	0	0
1063	4	1	22	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1064	4	1	22	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1065	4	1	22	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1066	4	1	22	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1067	4	1	22	F	Israel	Brownsville	1	L	244	10	6	NA	0	0	0	NA	NA
1068	4	1	22	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1069	4	1	22	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1070	4	1	22	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1071	4	1	22	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1072	4	1	22	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1073	4	1	22	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1074	4	1	22	M	Dahomey	Brownsville	1	L	244	10	6	1.130	NA	NA	NA	NA	NA
1075	4	1	22	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1076	4	1	22	M	Dahomey	Dahomey	1	P	240	10	2	1.055	NA	NA	NA	22	18
1077	4	1	22	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1078	4	1	22	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1079	4	1	22	F	Sweden	Dahomey	1	L	NA	NA	NA	0.870	21	14	35	NA	NA
1080	4	1	22	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1081	4	1	22	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1082	4	1	22	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1083	4	1	22	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1084	4	1	22	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1085	4	1	22	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1086	4	1	22	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1087	4	1	22	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1088	4	1	22	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1089	4	1	22	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1090	4	1	22	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1093	4	1	22	F	Brownsville	Sweden	1	N	253	10	15	0.982	20	22	42	NA	NA
1094	4	1	22	M	Sweden	Brownsville	1	N	263	10	1	0.897	NA	NA	NA	0	43
1095	4	1	22	F	Dahomey	Sweden	1	L	263	10	1	1.042	23	31	54	NA	NA
1096	4	1	22	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1097	4	1	22	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1098	4	1	22	M	Sweden	Israel	1	P	264	11	2	0.890	NA	NA	NA	NA	NA
1099	4	1	22	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1100	4	1	22	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1101	4	1	23	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1102	4	1	23	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1103	4	1	23	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1104	4	1	23	M	Barcelona	Brownsville	1	P	247	10	9	NA	NA	NA	NA	0	0
1105	4	1	23	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1106	4	1	23	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1107	4	1	23	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1108	4	1	23	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1109	4	1	23	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1110	4	1	23	M	Barcelona	Sweden	1	P	264	11	2	0.882	NA	NA	NA	0	32
1111	4	1	23	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1112	4	1	23	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1113	4	1	23	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1114	4	1	23	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1115	4	1	23	F	Dahomey	Brownsville	1	N	244	10	6	NA	0	0	0	NA	NA
1116	4	1	23	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	0
1117	4	1	23	F	Israel	Brownsville	1	L	NA	NA	NA	1.125	32	25	57	NA	NA
1118	4	1	23	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1119	4	1	23	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1120	4	1	23	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1121	4	1	23	F	Barcelona	Dahomey	1	L	263	10	1	0.955	21	26	47	NA	NA
1122	4	1	23	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1123	4	1	23	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1124	4	1	23	M	Dahomey	Brownsville	1	P	244	10	6	NA	NA	NA	NA	0	30
1125	4	1	23	F	Dahomey	Dahomey	1	P	253	10	15	1.062	19	24	43	NA	NA
1126	4	1	23	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1127	4	1	23	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1128	4	1	23	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1129	4	1	23	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1130	4	1	23	M	Dahomey	Sweden	1	P	290	12	4	NA	NA	NA	NA	0	41
1131	4	1	23	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA
1132	4	1	23	M	Israel	Barcelona	1	N	NA	NA	NA	0.903	NA	NA	NA	0	80
1133	4	1	23	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1134	4	1	23	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1135	4	1	23	F	Dahomey	Israel	1	L	245	10	7	1.121	44	35	79	NA	NA
1136	4	1	23	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1137	4	1	23	F	Israel	Israel	1	N	268	11	6	0.978	0	0	0	NA	NA
1138	4	1	23	M	Israel	Israel	1	N	265	11	3	0.880	NA	NA	NA	0	84
1139	4	1	23	F	Sweden	Israel	1	N	264	11	2	0.975	14	21	35	NA	NA
1140	4	1	23	M	Israel	Sweden	1	N	252	10	14	0.933	NA	NA	NA	21	61
1141	4	1	23	F	Barcelona	Sweden	1	N	267	11	5	1.044	35	34	69	NA	NA
1142	4	1	23	M	Sweden	Barcelona	1	N	247	10	9	1.002	NA	NA	NA	125	0
1143	4	1	23	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1144	4	1	23	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1145	4	1	23	F	Dahomey	Sweden	1	N	249	10	11	0.895	0	0	0	NA	NA
1146	4	1	23	M	Sweden	Dahomey	1	N	247	10	9	NA	NA	NA	NA	0	0
1147	4	1	23	F	Israel	Sweden	1	P	248	10	10	NA	0	0	0	NA	NA
1148	4	1	23	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1149	4	1	23	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1150	4	1	23	M	Sweden	Sweden	1	P	250	10	12	0.913	NA	NA	NA	0	0
1151	4	1	24	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1152	4	1	24	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1153	4	1	24	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1154	4	1	24	M	Barcelona	Brownsville	1	L	NA	NA	NA	1.159	NA	NA	NA	0	58
1155	4	1	24	F	Dahomey	Barcelona	1	P	270	11	8	NA	0	0	0	NA	NA
1156	4	1	24	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1157	4	1	24	F	Israel	Barcelona	1	P	NA	NA	NA	1.042	21	14	35	NA	NA
1158	4	1	24	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1159	4	1	24	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1160	4	1	24	M	Barcelona	Sweden	1	L	299	12	13	NA	NA	NA	NA	NA	NA
1161	4	1	24	F	Barcelona	Brownsville	1	P	NA	NA	NA	NA	20	21	41	NA	NA
1162	4	1	24	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1163	4	1	24	F	Brownsville	Brownsville	1	L	NA	NA	NA	1.014	19	7	26	NA	NA
1164	4	1	24	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1171	4	1	24	F	Barcelona	Dahomey	1	P	245	10	7	1.084	26	33	59	NA	NA
1172	4	1	24	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1173	4	1	24	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1174	4	1	24	M	Dahomey	Brownsville	1	L	NA	NA	NA	0.995	NA	NA	NA	23	1
1175	4	1	24	F	Dahomey	Dahomey	1	N	NA	NA	NA	1.130	26	25	51	NA	NA
1176	4	1	24	M	Dahomey	Dahomey	1	N	264	11	2	NA	NA	NA	NA	0	40
1177	4	1	24	F	Israel	Dahomey	1	P	250	10	12	1.053	22	24	46	NA	NA
1178	4	1	24	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1179	4	1	24	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1180	4	1	24	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1181	4	1	24	F	Barcelona	Israel	1	P	296	12	10	0.909	0	0	0	NA	NA
1182	4	1	24	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1183	4	1	24	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1184	4	1	24	M	Israel	Brownsville	1	L	249	10	11	1.007	NA	NA	NA	0	64
1185	4	1	24	F	Dahomey	Israel	1	P	276	11	14	0.992	17	17	34	NA	NA
1186	4	1	24	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1187	4	1	24	F	Israel	Israel	1	P	252	10	14	0.975	20	24	44	NA	NA
1188	4	1	24	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1189	4	1	24	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1190	4	1	24	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1191	4	1	24	F	Barcelona	Sweden	1	N	263	10	1	NA	0	0	0	NA	NA
1192	4	1	24	M	Sweden	Barcelona	1	N	263	10	1	NA	NA	NA	NA	0	0
1193	4	1	24	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1194	4	1	24	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1195	4	1	24	F	Dahomey	Sweden	1	N	251	10	13	1.076	22	25	47	NA	NA
1196	4	1	24	M	Sweden	Dahomey	1	N	268	11	6	0.878	NA	NA	NA	0	68
1197	4	1	24	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1198	4	1	24	M	Sweden	Israel	1	P	266	11	4	0.922	NA	NA	NA	0	18
1199	4	1	24	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1200	4	1	24	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1201	4	2	25	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1202	4	2	25	M	Barcelona	Barcelona	1	P	251	10	13	0.918	NA	NA	NA	75	42
1203	4	2	25	F	Brownsville	Barcelona	1	N	264	11	2	1.016	25	18	43	NA	NA
1204	4	2	25	M	Barcelona	Brownsville	1	N	252	10	14	NA	NA	NA	NA	0	61
1205	4	2	25	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1206	4	2	25	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1207	4	2	25	F	Israel	Barcelona	1	L	247	10	9	NA	13	13	26	NA	NA
1208	4	2	25	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1209	4	2	25	F	Sweden	Barcelona	1	P	NA	NA	NA	0.904	16	16	32	NA	NA
1210	4	2	25	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1211	4	2	25	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1212	4	2	25	M	Brownsville	Barcelona	1	L	NA	NA	NA	0.900	NA	NA	NA	0	82
1213	4	2	25	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1214	4	2	25	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1215	4	2	25	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1216	4	2	25	M	Brownsville	Dahomey	1	P	269	11	7	0.896	NA	NA	NA	0	84
1217	4	2	25	F	Israel	Brownsville	1	N	274	11	12	NA	27	23	50	NA	NA
1218	4	2	25	M	Brownsville	Israel	1	N	265	11	3	0.931	NA	NA	NA	0	61
1219	4	2	25	F	Sweden	Brownsville	1	P	NA	NA	NA	1.073	0	0	0	NA	NA
1220	4	2	25	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1221	4	2	25	F	Barcelona	Dahomey	1	L	252	10	14	1.014	0	0	0	NA	NA
1222	4	2	25	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1223	4	2	25	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1224	4	2	25	M	Dahomey	Brownsville	1	L	246	10	8	1.004	NA	NA	NA	0	89
1225	4	2	25	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1226	4	2	25	M	Dahomey	Dahomey	1	P	244	10	6	1.037	NA	NA	NA	104	31
1227	4	2	25	F	Israel	Dahomey	1	L	246	10	8	1.060	23	15	38	NA	NA
1228	4	2	25	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1229	4	2	25	F	Sweden	Dahomey	1	L	269	11	7	1.042	29	29	58	NA	NA
1230	4	2	25	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1231	4	2	25	F	Barcelona	Israel	1	N	247	10	9	NA	0	0	0	NA	NA
1232	4	2	25	M	Israel	Barcelona	1	N	244	10	6	1.007	NA	NA	NA	0	68
1233	4	2	25	F	Brownsville	Israel	1	P	245	10	7	1.045	20	25	45	NA	NA
1234	4	2	25	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1235	4	2	25	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1236	4	2	25	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1237	4	2	25	F	Israel	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1238	4	2	25	M	Israel	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1239	4	2	25	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1240	4	2	25	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1243	4	2	25	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1244	4	2	25	M	Sweden	Brownsville	1	L	245	10	7	1.080	NA	NA	NA	149	0
1245	4	2	25	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1246	4	2	25	M	Sweden	Dahomey	1	P	244	10	6	1.021	NA	NA	NA	125	0
1247	4	2	25	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1248	4	2	25	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1249	4	2	25	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1250	4	2	25	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1251	4	2	26	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1252	4	2	26	M	Barcelona	Barcelona	1	L	247	10	9	1.073	NA	NA	NA	161	1
1253	4	2	26	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1254	4	2	26	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1255	4	2	26	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1256	4	2	26	M	Barcelona	Dahomey	1	P	264	11	2	NA	NA	NA	NA	0	0
1257	4	2	26	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1258	4	2	26	M	Barcelona	Israel	1	L	248	10	10	1.031	NA	NA	NA	0	30
1259	4	2	26	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1260	4	2	26	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1261	4	2	26	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1262	4	2	26	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1263	4	2	26	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1264	4	2	26	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1265	4	2	26	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1266	4	2	26	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1267	4	2	26	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1268	4	2	26	M	Brownsville	Israel	1	L	248	10	10	NA	NA	NA	NA	0	5
1269	4	2	26	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1270	4	2	26	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1271	4	2	26	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1272	4	2	26	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1273	4	2	26	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1274	4	2	26	M	Dahomey	Brownsville	1	P	NA	NA	NA	0.878	NA	NA	NA	0	83
1275	4	2	26	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1276	4	2	26	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1277	4	2	26	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1278	4	2	26	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1279	4	2	26	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1280	4	2	26	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1281	4	2	26	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1282	4	2	26	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1283	4	2	26	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1284	4	2	26	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1285	4	2	26	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1286	4	2	26	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1287	4	2	26	F	Israel	Israel	1	N	NA	NA	NA	1.045	34	24	58	NA	NA
1288	4	2	26	M	Israel	Israel	1	N	246	10	8	NA	NA	NA	NA	0	0
1289	4	2	26	F	Sweden	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1290	4	2	26	M	Israel	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1291	4	2	26	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1292	4	2	26	M	Sweden	Barcelona	1	L	266	11	4	1.047	NA	NA	NA	75	7
1295	4	2	26	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1296	4	2	26	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1297	4	2	26	F	Israel	Sweden	1	L	249	10	11	1.024	23	25	48	NA	NA
1298	4	2	26	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1299	4	2	26	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1300	4	2	26	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1301	4	2	27	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1302	4	2	27	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1303	4	2	27	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1304	4	2	27	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1305	4	2	27	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1306	4	2	27	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1307	4	2	27	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1308	4	2	27	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1309	4	2	27	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1310	4	2	27	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1311	4	2	27	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1312	4	2	27	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1313	4	2	27	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1314	4	2	27	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1315	4	2	27	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1316	4	2	27	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1317	4	2	27	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1318	4	2	27	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1319	4	2	27	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1320	4	2	27	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1321	4	2	27	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1322	4	2	27	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1323	4	2	27	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1324	4	2	27	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1325	4	2	27	F	Dahomey	Dahomey	1	P	263	10	1	0.967	20	21	41	NA	NA
1326	4	2	27	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1327	4	2	27	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1328	4	2	27	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1329	4	2	27	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1330	4	2	27	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1331	4	2	27	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1332	4	2	27	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1333	4	2	27	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1334	4	2	27	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1335	4	2	27	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1336	4	2	27	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1337	4	2	27	F	Israel	Israel	1	P	250	10	12	1.038	24	16	40	NA	NA
1338	4	2	27	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1339	4	2	27	F	Sweden	Israel	1	L	268	11	6	NA	0	0	0	NA	NA
1340	4	2	27	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1341	4	2	27	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1342	4	2	27	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1343	4	2	27	F	Brownsville	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA
1344	4	2	27	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA
1345	4	2	27	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1346	4	2	27	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1347	4	2	27	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1348	4	2	27	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1349	4	2	27	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1350	4	2	27	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1351	4	2	28	F	Barcelona	Barcelona	1	L	250	10	12	NA	0	0	0	NA	NA
1352	4	2	28	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1353	4	2	28	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1354	4	2	28	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1355	4	2	28	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1356	4	2	28	M	Barcelona	Dahomey	1	P	250	10	12	1.077	NA	NA	NA	103	0
1357	4	2	28	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1358	4	2	28	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1359	4	2	28	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1360	4	2	28	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1361	4	2	28	F	Barcelona	Brownsville	1	L	264	11	2	0.963	11	6	17	NA	NA
1362	4	2	28	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1363	4	2	28	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1364	4	2	28	M	Brownsville	Brownsville	1	L	265	11	3	0.841	NA	NA	NA	0	0
1365	4	2	28	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1366	4	2	28	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1367	4	2	28	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1368	4	2	28	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1369	4	2	28	F	Sweden	Brownsville	1	L	NA	NA	NA	1.005	4	3	7	NA	NA
1370	4	2	28	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1371	4	2	28	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1372	4	2	28	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1373	4	2	28	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1374	4	2	28	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1375	4	2	28	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1376	4	2	28	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1377	4	2	28	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1378	4	2	28	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1381	4	2	28	F	Barcelona	Israel	1	N	275	11	13	NA	0	0	0	NA	NA
1382	4	2	28	M	Israel	Barcelona	1	N	251	10	13	1.061	NA	NA	NA	33	0
1383	4	2	28	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1384	4	2	28	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1385	4	2	28	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1386	4	2	28	M	Israel	Dahomey	1	L	NA	NA	NA	0.957	NA	NA	NA	146	1
1387	4	2	28	F	Israel	Israel	1	L	248	10	10	NA	0	0	0	NA	NA
1388	4	2	28	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1389	4	2	28	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1390	4	2	28	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1391	4	2	28	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1392	4	2	28	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1393	4	2	28	F	Brownsville	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1394	4	2	28	M	Sweden	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1395	4	2	28	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1396	4	2	28	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1397	4	2	28	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1398	4	2	28	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1399	4	2	28	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1400	4	2	28	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1401	5	1	29	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1402	5	1	29	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1403	5	1	29	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1404	5	1	29	M	Barcelona	Brownsville	1	L	286	12	0	0.751	NA	NA	NA	0	46
1405	5	1	29	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1406	5	1	29	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1407	5	1	29	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1408	5	1	29	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1409	5	1	29	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1410	5	1	29	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1411	5	1	29	F	Barcelona	Brownsville	1	L	267	11	5	NA	NA	NA	NA	NA	NA
1412	5	1	29	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1413	5	1	29	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1414	5	1	29	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1415	5	1	29	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1416	5	1	29	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1417	5	1	29	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1418	5	1	29	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1419	5	1	29	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1420	5	1	29	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1421	5	1	29	F	Barcelona	Dahomey	1	P	280	11	18	NA	0	0	0	NA	NA
1422	5	1	29	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1423	5	1	29	F	Brownsville	Dahomey	1	P	284	11	22	NA	1	0	1	NA	NA
1424	5	1	29	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1425	5	1	29	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1426	5	1	29	M	Dahomey	Dahomey	1	L	237	9	23	0.963	NA	NA	NA	0	14
1427	5	1	29	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1428	5	1	29	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1429	5	1	29	F	Sweden	Dahomey	1	L	268	11	6	1.071	25	20	45	NA	NA
1430	5	1	29	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1431	5	1	29	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1432	5	1	29	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1433	5	1	29	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1434	5	1	29	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1435	5	1	29	F	Dahomey	Israel	1	L	257	10	19	1.016	24	30	54	NA	NA
1436	5	1	29	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1437	5	1	29	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1438	5	1	29	M	Israel	Israel	1	L	278	11	16	0.862	NA	NA	NA	0	47
1439	5	1	29	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1440	5	1	29	M	Israel	Sweden	1	L	263	10	1	1.011	NA	NA	NA	0	27
1441	5	1	29	F	Barcelona	Sweden	1	P	281	11	19	0.901	5	5	10	NA	NA
1442	5	1	29	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1443	5	1	29	F	Brownsville	Sweden	1	N	283	11	21	0.918	17	16	33	NA	NA
1444	5	1	29	M	Sweden	Brownsville	1	N	278	11	16	0.890	NA	NA	NA	0	27
1445	5	1	29	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1446	5	1	29	M	Sweden	Dahomey	1	L	270	11	8	1.036	NA	NA	NA	23	9
1447	5	1	29	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1448	5	1	29	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1449	5	1	29	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1450	5	1	29	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1451	5	1	30	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1452	5	1	30	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1453	5	1	30	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1454	5	1	30	M	Barcelona	Brownsville	1	L	258	10	20	1.038	NA	NA	NA	0	65
1455	5	1	30	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1456	5	1	30	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1457	5	1	30	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1458	5	1	30	M	Barcelona	Israel	1	L	264	11	2	0.998	NA	NA	NA	0	18
1459	5	1	30	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1460	5	1	30	M	Barcelona	Sweden	1	L	267	11	5	NA	NA	NA	NA	0	20
1463	5	1	30	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1464	5	1	30	M	Brownsville	Brownsville	1	P	279	11	17	0.907	NA	NA	NA	0	56
1465	5	1	30	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1466	5	1	30	M	Brownsville	Dahomey	1	L	272	11	10	0.944	NA	NA	NA	0	12
1467	5	1	30	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1468	5	1	30	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1469	5	1	30	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1470	5	1	30	M	Brownsville	Sweden	1	L	243	10	5	NA	NA	NA	NA	0	0
1471	5	1	30	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1472	5	1	30	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1473	5	1	30	F	Brownsville	Dahomey	1	N	280	11	18	NA	1	1	2	NA	NA
1474	5	1	30	M	Dahomey	Brownsville	1	N	287	12	1	NA	NA	NA	NA	0	86
1475	5	1	30	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1476	5	1	30	M	Dahomey	Dahomey	1	P	249	10	11	1.007	NA	NA	NA	0	15
1477	5	1	30	F	Israel	Dahomey	1	L	251	10	13	1.113	34	30	64	NA	NA
1478	5	1	30	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1479	5	1	30	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1480	5	1	30	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1481	5	1	30	F	Barcelona	Israel	1	L	264	11	2	0.979	16	18	34	NA	NA
1482	5	1	30	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1483	5	1	30	F	Brownsville	Israel	1	L	279	11	17	NA	0	0	0	NA	NA
1484	5	1	30	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1487	5	1	30	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1488	5	1	30	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1489	5	1	30	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1490	5	1	30	M	Israel	Sweden	1	L	245	10	7	1.140	NA	NA	NA	120	8
1491	5	1	30	F	Barcelona	Sweden	1	L	267	11	5	1.045	17	21	38	NA	NA
1492	5	1	30	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1493	5	1	30	F	Brownsville	Sweden	1	L	239	9	1	1.143	19	28	47	NA	NA
1494	5	1	30	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1495	5	1	30	F	Dahomey	Sweden	1	N	282	11	20	0.976	5	9	14	NA	NA
1496	5	1	30	M	Sweden	Dahomey	1	N	252	10	14	1.047	NA	NA	NA	21	7
1497	5	1	30	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1498	5	1	30	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1499	5	1	30	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1500	5	1	30	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1501	5	2	31	F	Barcelona	Barcelona	1	L	240	10	2	1.053	10	18	28	NA	NA
1502	5	2	31	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1503	5	2	31	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1504	5	2	31	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1505	5	2	31	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1506	5	2	31	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1507	5	2	31	F	Israel	Barcelona	1	L	260	10	22	NA	28	24	52	NA	NA
1508	5	2	31	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1509	5	2	31	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1510	5	2	31	M	Barcelona	Sweden	1	L	250	10	12	1.024	NA	NA	NA	10	0
1511	5	2	31	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1512	5	2	31	M	Brownsville	Barcelona	1	L	257	10	19	NA	NA	NA	NA	0	0
1513	5	2	31	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1514	5	2	31	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1515	5	2	31	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1516	5	2	31	M	Brownsville	Dahomey	1	L	259	10	21	1.084	NA	NA	NA	0	0
1517	5	2	31	F	Israel	Brownsville	1	L	259	10	21	NA	0	0	0	NA	NA
1518	5	2	31	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1519	5	2	31	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1520	5	2	31	M	Brownsville	Sweden	1	L	259	10	21	1.042	NA	NA	NA	0	88
1521	5	2	31	F	Barcelona	Dahomey	1	P	288	12	2	0.869	0	0	0	NA	NA
1522	5	2	31	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1523	5	2	31	F	Brownsville	Dahomey	1	L	267	11	5	1.209	24	38	62	NA	NA
1524	5	2	31	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1525	5	2	31	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1526	5	2	31	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1527	5	2	31	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1528	5	2	31	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1529	5	2	31	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1530	5	2	31	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1531	5	2	31	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1532	5	2	31	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1533	5	2	31	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1534	5	2	31	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1535	5	2	31	F	Dahomey	Israel	1	L	245	10	7	1.178	37	29	66	NA	NA
1536	5	2	31	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1537	5	2	31	F	Israel	Israel	1	L	247	10	9	1.221	38	25	63	NA	NA
1538	5	2	31	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1539	5	2	31	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1540	5	2	31	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1541	5	2	31	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1542	5	2	31	M	Sweden	Barcelona	1	L	242	10	4	1.040	NA	NA	NA	12	64
1543	5	2	31	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1544	5	2	31	M	Sweden	Brownsville	1	L	232	9	18	NA	NA	NA	NA	50	6
1547	5	2	31	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1548	5	2	31	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1549	5	2	31	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1550	5	2	31	M	Sweden	Sweden	1	L	262	10	0	0.971	NA	NA	NA	0	12
1551	5	2	32	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1552	5	2	32	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1553	5	2	32	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1554	5	2	32	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1555	5	2	32	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1556	5	2	32	M	Barcelona	Dahomey	1	L	263	10	1	0.978	NA	NA	NA	116	37
1557	5	2	32	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1558	5	2	32	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1559	5	2	32	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1560	5	2	32	M	Barcelona	Sweden	1	L	270	11	8	1.011	NA	NA	NA	16	7
1561	5	2	32	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1562	5	2	32	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1563	5	2	32	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1564	5	2	32	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1565	5	2	32	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1566	5	2	32	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1567	5	2	32	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1568	5	2	32	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1569	5	2	32	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1570	5	2	32	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1573	5	2	32	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1574	5	2	32	M	Dahomey	Brownsville	1	P	275	11	13	0.823	NA	NA	NA	0	79
1575	5	2	32	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1576	5	2	32	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1577	5	2	32	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1578	5	2	32	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1579	5	2	32	F	Sweden	Dahomey	1	N	253	10	15	0.964	2	6	8	NA	NA
1580	5	2	32	M	Dahomey	Sweden	1	N	273	11	11	0.902	NA	NA	NA	0	63
1581	5	2	32	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1582	5	2	32	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1583	5	2	32	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1584	5	2	32	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1585	5	2	32	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1586	5	2	32	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1587	5	2	32	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1588	5	2	32	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1589	5	2	32	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1590	5	2	32	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1591	5	2	32	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1592	5	2	32	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1595	5	2	32	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1596	5	2	32	M	Sweden	Dahomey	1	L	246	10	8	NA	NA	NA	NA	69	0
1597	5	2	32	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1598	5	2	32	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1599	5	2	32	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1600	5	2	32	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1601	5	1	33	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1602	5	1	33	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1603	5	1	33	F	Brownsville	Barcelona	1	L	280	11	18	NA	0	0	0	NA	NA
1604	5	1	33	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1605	5	1	33	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1606	5	1	33	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1607	5	1	33	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1608	5	1	33	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1609	5	1	33	F	Sweden	Barcelona	1	L	286	12	0	0.847	15	14	29	NA	NA
1610	5	1	33	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1611	5	1	33	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1612	5	1	33	M	Brownsville	Barcelona	1	L	268	11	6	0.905	NA	NA	NA	0	11
1613	5	1	33	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1614	5	1	33	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1615	5	1	33	F	Dahomey	Brownsville	1	L	241	10	3	1.187	28	21	49	NA	NA
1616	5	1	33	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1617	5	1	33	F	Israel	Brownsville	1	L	272	11	10	0.926	16	22	38	NA	NA
1618	5	1	33	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1619	5	1	33	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1620	5	1	33	M	Brownsville	Sweden	1	L	260	10	22	1.010	NA	NA	NA	0	41
1621	5	1	33	F	Barcelona	Dahomey	1	N	263	10	1	0.979	20	20	40	NA	NA
1622	5	1	33	M	Dahomey	Barcelona	1	N	259	10	21	0.988	NA	NA	NA	174	0
1623	5	1	33	F	Brownsville	Dahomey	1	P	246	10	8	1.078	14	14	28	NA	NA
1624	5	1	33	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1625	5	1	33	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1626	5	1	33	M	Dahomey	Dahomey	1	L	246	10	8	0.989	NA	NA	NA	56	0
1627	5	1	33	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1628	5	1	33	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1629	5	1	33	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1630	5	1	33	M	Dahomey	Sweden	1	L	246	10	8	0.976	NA	NA	NA	116	9
1631	5	1	33	F	Barcelona	Israel	1	L	253	10	15	1.068	20	26	46	NA	NA
1632	5	1	33	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1633	5	1	33	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1634	5	1	33	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1635	5	1	33	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1636	5	1	33	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1637	5	1	33	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1638	5	1	33	M	Israel	Israel	1	P	280	11	18	NA	NA	NA	NA	0	0
1639	5	1	33	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1640	5	1	33	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1641	5	1	33	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1642	5	1	33	M	Sweden	Barcelona	1	L	274	11	12	0.912	NA	NA	NA	9	0
1643	5	1	33	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1644	5	1	33	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1645	5	1	33	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1646	5	1	33	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1647	5	1	33	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1648	5	1	33	M	Sweden	Israel	1	P	263	10	1	0.939	NA	NA	NA	54	62
1649	5	1	33	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1650	5	1	33	M	Sweden	Sweden	1	L	270	11	8	NA	NA	NA	NA	0	0
1651	5	1	34	F	Barcelona	Barcelona	1	L	244	10	6	1.190	36	23	59	NA	NA
1652	5	1	34	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1653	5	1	34	F	Brownsville	Barcelona	1	P	280	11	18	1.027	17	23	40	NA	NA
1654	5	1	34	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1655	5	1	34	F	Dahomey	Barcelona	1	N	259	10	21	1.054	27	23	50	NA	NA
1656	5	1	34	M	Barcelona	Dahomey	1	N	NA	NA	NA	0.983	NA	NA	NA	15	83
1657	5	1	34	F	Israel	Barcelona	1	P	252	10	14	1.089	28	36	64	NA	NA
1658	5	1	34	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1659	5	1	34	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1660	5	1	34	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1661	5	1	34	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1662	5	1	34	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1663	5	1	34	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1664	5	1	34	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1665	5	1	34	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1666	5	1	34	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1667	5	1	34	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1668	5	1	34	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1669	5	1	34	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1670	5	1	34	M	Brownsville	Sweden	1	P	261	10	23	0.945	NA	NA	NA	0	89
1671	5	1	34	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1672	5	1	34	M	Dahomey	Barcelona	1	P	249	10	11	0.984	NA	NA	NA	0	35
1673	5	1	34	F	Brownsville	Dahomey	1	P	251	10	13	1.013	23	13	36	NA	NA
1674	5	1	34	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1675	5	1	34	F	Dahomey	Dahomey	1	P	288	12	2	NA	0	0	0	NA	NA
1676	5	1	34	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1677	5	1	34	F	Israel	Dahomey	1	L	251	10	13	1.034	21	26	47	NA	NA
1678	5	1	34	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1679	5	1	34	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1680	5	1	34	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1681	5	1	34	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1682	5	1	34	M	Israel	Barcelona	1	P	252	10	14	0.969	NA	NA	NA	0	0
1683	5	1	34	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1684	5	1	34	M	Israel	Brownsville	1	L	253	10	15	0.936	NA	NA	NA	32	47
1685	5	1	34	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1686	5	1	34	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1687	5	1	34	F	Israel	Israel	1	L	247	10	9	0.995	17	14	31	NA	NA
1688	5	1	34	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1689	5	1	34	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1690	5	1	34	M	Israel	Sweden	1	L	270	11	8	0.973	NA	NA	NA	0	74
1691	5	1	34	F	Barcelona	Sweden	1	L	238	9	0	1.023	27	21	48	NA	NA
1692	5	1	34	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1693	5	1	34	F	Brownsville	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1694	5	1	34	M	Sweden	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1695	5	1	34	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1696	5	1	34	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1697	5	1	34	F	Israel	Sweden	1	N	274	11	12	0.962	0	0	0	NA	NA
1698	5	1	34	M	Sweden	Israel	1	N	270	11	8	0.880	NA	NA	NA	0	33
1699	5	1	34	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1700	5	1	34	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1701	5	2	35	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1702	5	2	35	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1703	5	2	35	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1704	5	2	35	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1705	5	2	35	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1706	5	2	35	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1707	5	2	35	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1708	5	2	35	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1709	5	2	35	F	Sweden	Barcelona	1	L	273	11	11	0.967	9	11	20	NA	NA
1710	5	2	35	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1711	5	2	35	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1712	5	2	35	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1713	5	2	35	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1714	5	2	35	M	Brownsville	Brownsville	1	L	269	11	7	0.928	NA	NA	NA	0	101
1715	5	2	35	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1716	5	2	35	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1717	5	2	35	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1718	5	2	35	M	Brownsville	Israel	1	L	266	11	4	1.067	NA	NA	NA	0	52
1719	5	2	35	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1720	5	2	35	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1721	5	2	35	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1722	5	2	35	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1723	5	2	35	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1724	5	2	35	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1725	5	2	35	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1726	5	2	35	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1727	5	2	35	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1728	5	2	35	M	Dahomey	Israel	1	L	271	11	9	0.782	NA	NA	NA	0	23
1729	5	2	35	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1730	5	2	35	M	Dahomey	Sweden	1	L	281	11	19	1.017	NA	NA	NA	0	59
1731	5	2	35	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1732	5	2	35	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1733	5	2	35	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1734	5	2	35	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1735	5	2	35	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1736	5	2	35	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1737	5	2	35	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1738	5	2	35	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1739	5	2	35	F	Sweden	Israel	1	L	281	11	19	NA	0	0	0	NA	NA
1740	5	2	35	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1741	5	2	35	F	Barcelona	Sweden	1	L	290	12	4	1.097	29	29	58	NA	NA
1742	5	2	35	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1743	5	2	35	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1744	5	2	35	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1745	5	2	35	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1746	5	2	35	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1747	5	2	35	F	Israel	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1748	5	2	35	M	Sweden	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1749	5	2	35	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1750	5	2	35	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1751	5	2	36	F	Barcelona	Barcelona	1	L	259	10	21	1.090	20	32	52	NA	NA
1752	5	2	36	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1753	5	2	36	F	Brownsville	Barcelona	1	L	277	11	15	NA	0	0	0	NA	NA
1754	5	2	36	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1755	5	2	36	F	Dahomey	Barcelona	1	L	250	10	12	NA	15	14	29	NA	NA
1756	5	2	36	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1757	5	2	36	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1758	5	2	36	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1759	5	2	36	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1760	5	2	36	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1761	5	2	36	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1762	5	2	36	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1763	5	2	36	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1764	5	2	36	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1765	5	2	36	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1766	5	2	36	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1767	5	2	36	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1768	5	2	36	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1769	5	2	36	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1770	5	2	36	M	Brownsville	Sweden	1	L	285	11	23	0.926	NA	NA	NA	0	91
1771	5	2	36	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1772	5	2	36	M	Dahomey	Barcelona	1	P	286	12	0	0.851	NA	NA	NA	0	18
1773	5	2	36	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1774	5	2	36	M	Dahomey	Brownsville	1	L	276	11	14	0.821	NA	NA	NA	0	73
1775	5	2	36	F	Dahomey	Dahomey	1	P	272	11	10	NA	0	0	0	NA	NA
1776	5	2	36	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1777	5	2	36	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1778	5	2	36	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1779	5	2	36	F	Sweden	Dahomey	1	P	256	10	18	0.977	13	23	36	NA	NA
1780	5	2	36	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1781	5	2	36	F	Barcelona	Israel	1	L	272	11	10	1.056	0	0	0	NA	NA
1782	5	2	36	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1783	5	2	36	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1784	5	2	36	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1785	5	2	36	F	Dahomey	Israel	1	L	245	10	7	1.062	33	21	54	NA	NA
1786	5	2	36	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1787	5	2	36	F	Israel	Israel	1	L	242	10	4	1.198	0	0	0	NA	NA
1788	5	2	36	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1789	5	2	36	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1790	5	2	36	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1791	5	2	36	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1792	5	2	36	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1793	5	2	36	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1794	5	2	36	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1795	5	2	36	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1796	5	2	36	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1797	5	2	36	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1798	5	2	36	M	Sweden	Israel	1	L	250	10	12	NA	NA	NA	NA	0	0
1799	5	2	36	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1800	5	2	36	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1801	6	1	37	F	Barcelona	Barcelona	1	L	252	10	14	NA	20	16	36	NA	NA
1802	6	1	37	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1803	6	1	37	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1804	6	1	37	M	Barcelona	Brownsville	1	L	241	10	3	1.060	NA	NA	NA	36	68
1807	6	1	37	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1808	6	1	37	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1809	6	1	37	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1810	6	1	37	M	Barcelona	Sweden	1	L	260	10	22	1.084	NA	NA	NA	97	4
1811	6	1	37	F	Barcelona	Brownsville	1	L	NA	NA	NA	1.177	31	35	66	NA	NA
1812	6	1	37	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1815	6	1	37	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1816	6	1	37	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1817	6	1	37	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1818	6	1	37	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1819	6	1	37	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1820	6	1	37	M	Brownsville	Sweden	1	L	257	10	19	0.898	NA	NA	NA	0	34
1821	6	1	37	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1822	6	1	37	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1823	6	1	37	F	Brownsville	Dahomey	1	N	242	10	4	1.018	17	18	35	NA	NA
1824	6	1	37	M	Dahomey	Brownsville	1	N	260	10	22	0.932	NA	NA	NA	0	74
1825	6	1	37	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1826	6	1	37	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1827	6	1	37	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1828	6	1	37	M	Dahomey	Israel	1	L	251	10	13	0.872	NA	NA	NA	0	35
1829	6	1	37	F	Sweden	Dahomey	1	L	226	9	12	1.096	30	37	67	NA	NA
1830	6	1	37	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1831	6	1	37	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1832	6	1	37	M	Israel	Barcelona	1	L	270	11	8	0.865	NA	NA	NA	0	101
1833	6	1	37	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1834	6	1	37	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1835	6	1	37	F	Dahomey	Israel	1	L	259	10	21	0.959	0	0	0	NA	NA
1836	6	1	37	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1837	6	1	37	F	Israel	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1838	6	1	37	M	Israel	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1839	6	1	37	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1840	6	1	37	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1843	6	1	37	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1844	6	1	37	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1845	6	1	37	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1846	6	1	37	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1847	6	1	37	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1848	6	1	37	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1849	6	1	37	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1850	6	1	37	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1851	6	1	38	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1852	6	1	38	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1853	6	1	38	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1854	6	1	38	M	Barcelona	Brownsville	1	L	269	11	7	NA	NA	NA	NA	0	0
1855	6	1	38	F	Dahomey	Barcelona	1	L	240	10	2	1.100	30	28	58	NA	NA
1856	6	1	38	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1857	6	1	38	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1858	6	1	38	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1859	6	1	38	F	Sweden	Barcelona	1	N	252	10	14	NA	22	17	39	NA	NA
1860	6	1	38	M	Barcelona	Sweden	1	N	241	10	3	NA	NA	NA	NA	0	107
1861	6	1	38	F	Barcelona	Brownsville	1	L	246	10	8	NA	0	0	0	NA	NA
1862	6	1	38	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1863	6	1	38	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1864	6	1	38	M	Brownsville	Brownsville	1	L	230	9	16	NA	NA	NA	NA	0	0
1865	6	1	38	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1866	6	1	38	M	Brownsville	Dahomey	1	L	247	10	9	NA	NA	NA	NA	0	0
1867	6	1	38	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1868	6	1	38	M	Brownsville	Israel	1	L	261	10	23	0.892	NA	NA	NA	0	56
1869	6	1	38	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1870	6	1	38	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1871	6	1	38	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1872	6	1	38	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1873	6	1	38	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1874	6	1	38	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1875	6	1	38	F	Dahomey	Dahomey	1	N	256	10	18	0.976	0	0	0	NA	NA
1876	6	1	38	M	Dahomey	Dahomey	1	N	247	10	9	NA	NA	NA	NA	0	28
1877	6	1	38	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1878	6	1	38	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1879	6	1	38	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1880	6	1	38	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1881	6	1	38	F	Barcelona	Israel	1	L	247	10	9	NA	0	0	0	NA	NA
1882	6	1	38	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1883	6	1	38	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1884	6	1	38	M	Israel	Brownsville	1	P	257	10	19	0.918	NA	NA	NA	0	105
1885	6	1	38	F	Dahomey	Israel	1	L	254	10	16	NA	0	0	0	NA	NA
1886	6	1	38	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1887	6	1	38	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1888	6	1	38	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1889	6	1	38	F	Sweden	Israel	1	N	247	10	9	NA	0	0	0	NA	NA
1890	6	1	38	M	Israel	Sweden	1	N	239	9	1	NA	NA	NA	NA	0	65
1891	6	1	38	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1892	6	1	38	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1893	6	1	38	F	Brownsville	Sweden	1	L	239	9	1	NA	0	0	0	NA	NA
1894	6	1	38	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1895	6	1	38	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1896	6	1	38	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1897	6	1	38	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1898	6	1	38	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1899	6	1	38	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1900	6	1	38	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1901	6	1	39	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1902	6	1	39	M	Barcelona	Barcelona	1	P	273	11	11	0.865	NA	NA	NA	0	0
1903	6	1	39	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1904	6	1	39	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1905	6	1	39	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1906	6	1	39	M	Barcelona	Dahomey	1	L	254	10	16	0.929	NA	NA	NA	0	35
1907	6	1	39	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1908	6	1	39	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1909	6	1	39	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1910	6	1	39	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1911	6	1	39	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1912	6	1	39	M	Brownsville	Barcelona	1	P	247	10	9	NA	NA	NA	NA	0	48
1913	6	1	39	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1914	6	1	39	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1915	6	1	39	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1916	6	1	39	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1917	6	1	39	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1918	6	1	39	M	Brownsville	Israel	1	L	244	10	6	0.706	NA	NA	NA	0	118
1919	6	1	39	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1920	6	1	39	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1921	6	1	39	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1922	6	1	39	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1923	6	1	39	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1924	6	1	39	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1925	6	1	39	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1926	6	1	39	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1927	6	1	39	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1928	6	1	39	M	Dahomey	Israel	1	L	249	10	11	1.078	NA	NA	NA	84	22
1929	6	1	39	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1930	6	1	39	M	Dahomey	Sweden	1	L	243	10	5	1.008	NA	NA	NA	49	6
1931	6	1	39	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1932	6	1	39	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1933	6	1	39	F	Brownsville	Israel	1	P	NA	NA	NA	1.094	0	0	0	NA	NA
1934	6	1	39	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1935	6	1	39	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1936	6	1	39	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1937	6	1	39	F	Israel	Israel	1	N	270	11	8	NA	0	0	0	NA	NA
1938	6	1	39	M	Israel	Israel	1	N	268	11	6	0.844	NA	NA	NA	73	36
1939	6	1	39	F	Sweden	Israel	1	N	253	10	15	1.068	28	18	46	NA	NA
1940	6	1	39	M	Israel	Sweden	1	N	271	11	9	0.900	NA	NA	NA	39	16
1941	6	1	39	F	Barcelona	Sweden	1	P	245	10	7	1.040	21	25	46	NA	NA
1942	6	1	39	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1943	6	1	39	F	Brownsville	Sweden	1	L	241	10	3	NA	0	0	0	NA	NA
1944	6	1	39	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1945	6	1	39	F	Dahomey	Sweden	1	P	251	10	13	NA	1	1	2	NA	NA
1946	6	1	39	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1951	6	1	40	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1952	6	1	40	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1953	6	1	40	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1954	6	1	40	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1955	6	1	40	F	Dahomey	Barcelona	1	P	257	10	19	0.985	22	32	54	NA	NA
1956	6	1	40	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1957	6	1	40	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1958	6	1	40	M	Barcelona	Israel	1	P	277	11	15	NA	NA	NA	NA	0	66
1959	6	1	40	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1960	6	1	40	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1961	6	1	40	F	Barcelona	Brownsville	1	N	255	10	17	0.989	8	8	16	NA	NA
1962	6	1	40	M	Brownsville	Barcelona	1	N	287	12	1	0.919	NA	NA	NA	0	66
1963	6	1	40	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1964	6	1	40	M	Brownsville	Brownsville	1	L	247	10	9	0.999	NA	NA	NA	0	90
1965	6	1	40	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1966	6	1	40	M	Brownsville	Dahomey	1	L	NA	NA	NA	0.910	NA	NA	NA	0	14
1967	6	1	40	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA
1968	6	1	40	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0
1969	6	1	40	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1970	6	1	40	M	Brownsville	Sweden	1	P	240	10	2	0.999	NA	NA	NA	0	0
1971	6	1	40	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1972	6	1	40	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1973	6	1	40	F	Brownsville	Dahomey	1	P	242	10	4	1.024	29	30	59	NA	NA
1974	6	1	40	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1975	6	1	40	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1976	6	1	40	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1977	6	1	40	F	Israel	Dahomey	1	L	242	10	4	NA	0	0	0	NA	NA
1978	6	1	40	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1979	6	1	40	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1980	6	1	40	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1981	6	1	40	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1982	6	1	40	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1983	6	1	40	F	Brownsville	Israel	1	P	245	10	7	0.996	23	18	41	NA	NA
1984	6	1	40	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1985	6	1	40	F	Dahomey	Israel	1	L	250	10	12	NA	0	0	0	NA	NA
1986	6	1	40	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1987	6	1	40	F	Israel	Israel	1	L	272	11	10	0.994	2	4	6	NA	NA
1988	6	1	40	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1989	6	1	40	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1990	6	1	40	M	Israel	Sweden	1	L	243	10	5	1.012	NA	NA	NA	0	4
1991	6	1	40	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
1992	6	1	40	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
1993	6	1	40	F	Brownsville	Sweden	1	N	242	10	4	1.033	26	28	54	NA	NA
1994	6	1	40	M	Sweden	Brownsville	1	N	257	10	19	0.906	NA	NA	NA	48	60
1995	6	1	40	F	Dahomey	Sweden	1	L	275	11	13	0.908	0	0	0	NA	NA
1996	6	1	40	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
1997	6	1	40	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
1998	6	1	40	M	Sweden	Israel	1	L	248	10	10	0.987	NA	NA	NA	124	23
1999	6	1	40	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2000	6	1	40	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2001	6	1	41	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2002	6	1	41	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2003	6	1	41	F	Brownsville	Barcelona	1	N	269	11	7	1.042	23	15	38	NA	NA
2004	6	1	41	M	Barcelona	Brownsville	1	N	271	11	9	0.963	NA	NA	NA	97	24
2005	6	1	41	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2006	6	1	41	M	Barcelona	Dahomey	1	P	244	10	6	1.059	NA	NA	NA	58	9
2007	6	1	41	F	Israel	Barcelona	1	P	250	10	12	NA	27	21	48	NA	NA
2008	6	1	41	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2009	6	1	41	F	Sweden	Barcelona	1	P	248	10	10	1.149	23	20	43	NA	NA
2010	6	1	41	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2011	6	1	41	F	Barcelona	Brownsville	1	N	274	11	12	NA	0	0	0	NA	NA
2012	6	1	41	M	Brownsville	Barcelona	1	N	242	10	4	1.030	NA	NA	NA	0	32
2013	6	1	41	F	Brownsville	Brownsville	1	N	254	10	16	NA	0	0	0	NA	NA
2014	6	1	41	M	Brownsville	Brownsville	1	N	243	10	5	0.947	NA	NA	NA	0	0
2015	6	1	41	F	Dahomey	Brownsville	1	L	253	10	15	1.157	48	26	74	NA	NA
2016	6	1	41	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2017	6	1	41	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2018	6	1	41	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2019	6	1	41	F	Sweden	Brownsville	1	N	266	11	4	0.998	1	2	3	NA	NA
2020	6	1	41	M	Brownsville	Sweden	1	N	288	12	2	NA	NA	NA	NA	0	0
2021	6	1	41	F	Barcelona	Dahomey	1	N	247	10	9	1.092	16	26	42	NA	NA
2022	6	1	41	M	Dahomey	Barcelona	1	N	250	10	12	1.060	NA	NA	NA	45	3
2023	6	1	41	F	Brownsville	Dahomey	1	N	272	11	10	1.005	14	21	35	NA	NA
2024	6	1	41	M	Dahomey	Brownsville	1	N	284	11	22	1.021	NA	NA	NA	4	0
2025	6	1	41	F	Dahomey	Dahomey	1	P	245	10	7	1.074	38	32	70	NA	NA
2026	6	1	41	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2027	6	1	41	F	Israel	Dahomey	1	N	274	11	12	0.967	0	0	0	NA	NA
2028	6	1	41	M	Dahomey	Israel	1	N	241	10	3	1.042	NA	NA	NA	0	54
2029	6	1	41	F	Sweden	Dahomey	1	L	240	10	2	NA	33	31	64	NA	NA
2030	6	1	41	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2031	6	1	41	F	Barcelona	Israel	1	P	248	10	10	1.106	22	30	52	NA	NA
2032	6	1	41	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2033	6	1	41	F	Brownsville	Israel	1	N	245	10	7	1.063	7	9	16	NA	NA
2034	6	1	41	M	Israel	Brownsville	1	N	272	11	10	0.876	NA	NA	NA	0	96
2035	6	1	41	F	Dahomey	Israel	1	N	252	10	14	0.985	18	21	39	NA	NA
2036	6	1	41	M	Israel	Dahomey	1	N	263	10	1	0.904	NA	NA	NA	0	58
2037	6	1	41	F	Israel	Israel	1	L	231	9	17	1.053	28	25	53	NA	NA
2038	6	1	41	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2039	6	1	41	F	Sweden	Israel	1	N	238	9	0	1.205	0	0	0	NA	NA
2040	6	1	41	M	Israel	Sweden	1	N	247	10	9	NA	NA	NA	NA	NA	NA
2041	6	1	41	F	Barcelona	Sweden	1	L	273	11	11	1.106	31	38	69	NA	NA
2042	6	1	41	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2043	6	1	41	F	Brownsville	Sweden	1	L	275	11	13	NA	0	0	0	NA	NA
2044	6	1	41	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2045	6	1	41	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2046	6	1	41	M	Sweden	Dahomey	1	L	252	10	14	NA	NA	NA	NA	0	19
2049	6	1	41	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2050	6	1	41	M	Sweden	Sweden	1	L	268	11	6	NA	NA	NA	NA	0	0
2051	6	1	42	F	Barcelona	Barcelona	1	N	257	10	19	1.090	21	26	47	NA	NA
2052	6	1	42	M	Barcelona	Barcelona	1	N	255	10	17	0.995	NA	NA	NA	90	0
2053	6	1	42	F	Brownsville	Barcelona	1	N	270	11	8	NA	0	0	0	NA	NA
2054	6	1	42	M	Barcelona	Brownsville	1	N	255	10	17	0.995	NA	NA	NA	0	16
2055	6	1	42	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2056	6	1	42	M	Barcelona	Dahomey	1	L	255	10	17	0.973	NA	NA	NA	70	68
2057	6	1	42	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2058	6	1	42	M	Barcelona	Israel	1	L	275	11	13	NA	NA	NA	NA	0	0
2059	6	1	42	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2060	6	1	42	M	Barcelona	Sweden	1	L	268	11	6	0.965	NA	NA	NA	81	33
2063	6	1	42	F	Brownsville	Brownsville	1	L	245	10	7	1.165	39	34	73	NA	NA
2064	6	1	42	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2065	6	1	42	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2066	6	1	42	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2067	6	1	42	F	Israel	Brownsville	1	N	250	10	12	1.070	24	25	49	NA	NA
2068	6	1	42	M	Brownsville	Israel	1	N	254	10	16	NA	NA	NA	NA	0	99
2069	6	1	42	F	Sweden	Brownsville	1	N	258	10	20	0.994	0	0	0	NA	NA
2070	6	1	42	M	Brownsville	Sweden	1	N	274	11	12	0.902	NA	NA	NA	0	43
2071	6	1	42	F	Barcelona	Dahomey	1	N	241	10	3	1.103	22	23	45	NA	NA
2072	6	1	42	M	Dahomey	Barcelona	1	N	254	10	16	0.981	NA	NA	NA	14	29
2073	6	1	42	F	Brownsville	Dahomey	1	N	230	9	16	0.916	20	20	40	NA	NA
2074	6	1	42	M	Dahomey	Brownsville	1	N	242	10	4	0.995	NA	NA	NA	0	17
2075	6	1	42	F	Dahomey	Dahomey	1	L	252	10	14	1.102	27	28	55	NA	NA
2076	6	1	42	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2077	6	1	42	F	Israel	Dahomey	1	N	259	10	21	1.076	19	18	37	NA	NA
2078	6	1	42	M	Dahomey	Israel	1	N	275	11	13	0.944	NA	NA	NA	121	0
2079	6	1	42	F	Sweden	Dahomey	1	L	269	11	7	1.003	24	23	47	NA	NA
2080	6	1	42	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2081	6	1	42	F	Barcelona	Israel	1	L	245	10	7	1.212	0	0	0	NA	NA
2082	6	1	42	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2083	6	1	42	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2084	6	1	42	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2087	6	1	42	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2088	6	1	42	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2089	6	1	42	F	Sweden	Israel	1	L	276	11	14	0.940	6	13	19	NA	NA
2090	6	1	42	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2091	6	1	42	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2092	6	1	42	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2093	6	1	42	F	Brownsville	Sweden	1	L	254	10	16	0.897	8	14	22	NA	NA
2094	6	1	42	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2095	6	1	42	F	Dahomey	Sweden	1	N	252	10	14	1.011	17	27	44	NA	NA
2096	6	1	42	M	Sweden	Dahomey	1	N	262	10	0	0.970	NA	NA	NA	106	8
2097	6	1	42	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2098	6	1	42	M	Sweden	Israel	1	L	286	12	0	NA	NA	NA	NA	0	0
2099	6	1	42	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2100	6	1	42	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2101	6	1	43	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2102	6	1	43	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2103	6	1	43	F	Brownsville	Barcelona	1	N	252	10	14	1.085	27	28	55	NA	NA
2104	6	1	43	M	Barcelona	Brownsville	1	N	277	11	15	0.917	NA	NA	NA	0	82
2105	6	1	43	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2106	6	1	43	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2107	6	1	43	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2108	6	1	43	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2109	6	1	43	F	Sweden	Barcelona	1	P	259	10	21	0.936	10	9	19	NA	NA
2110	6	1	43	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2111	6	1	43	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2112	6	1	43	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2113	6	1	43	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2114	6	1	43	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2115	6	1	43	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2116	6	1	43	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2117	6	1	43	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2118	6	1	43	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2119	6	1	43	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2120	6	1	43	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2121	6	1	43	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2122	6	1	43	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2123	6	1	43	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2124	6	1	43	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2125	6	1	43	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2126	6	1	43	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2127	6	1	43	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2128	6	1	43	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2129	6	1	43	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2130	6	1	43	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2131	6	1	43	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2132	6	1	43	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2133	6	1	43	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2134	6	1	43	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2135	6	1	43	F	Dahomey	Israel	1	N	256	10	18	0.999	28	18	46	NA	NA
2136	6	1	43	M	Israel	Dahomey	1	N	275	11	13	0.827	NA	NA	NA	0	30
2137	6	1	43	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2138	6	1	43	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2139	6	1	43	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2140	6	1	43	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2141	6	1	43	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2142	6	1	43	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2143	6	1	43	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2144	6	1	43	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2145	6	1	43	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2146	6	1	43	M	Sweden	Dahomey	1	P	274	11	12	NA	NA	NA	NA	0	49
2147	6	1	43	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2148	6	1	43	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2149	6	1	43	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2150	6	1	43	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2151	6	1	44	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2152	6	1	44	M	Barcelona	Barcelona	1	L	244	10	6	NA	NA	NA	NA	0	0
2153	6	1	44	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2154	6	1	44	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2155	6	1	44	F	Dahomey	Barcelona	1	N	256	10	18	1.080	13	4	17	NA	NA
2156	6	1	44	M	Barcelona	Dahomey	1	N	245	10	7	1.017	NA	NA	NA	46	38
2157	6	1	44	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2158	6	1	44	M	Barcelona	Israel	1	L	243	10	5	1.059	NA	NA	NA	50	2
2159	6	1	44	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2160	6	1	44	M	Barcelona	Sweden	1	P	261	10	23	0.952	NA	NA	NA	107	53
2161	6	1	44	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2162	6	1	44	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2163	6	1	44	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2164	6	1	44	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2165	6	1	44	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2166	6	1	44	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2167	6	1	44	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2168	6	1	44	M	Brownsville	Israel	1	P	269	11	7	NA	NA	NA	NA	0	79
2169	6	1	44	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2170	6	1	44	M	Brownsville	Sweden	1	P	260	10	22	0.993	NA	NA	NA	0	45
2171	6	1	44	F	Barcelona	Dahomey	1	L	258	10	20	1.057	25	28	53	NA	NA
2172	6	1	44	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2173	6	1	44	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2174	6	1	44	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2175	6	1	44	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2176	6	1	44	M	Dahomey	Dahomey	1	L	NA	NA	NA	NA	NA	NA	NA	0	0
2177	6	1	44	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2178	6	1	44	M	Dahomey	Israel	1	L	262	10	0	0.988	NA	NA	NA	0	48
2179	6	1	44	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2180	6	1	44	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2181	6	1	44	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2182	6	1	44	M	Israel	Barcelona	1	P	257	10	19	NA	NA	NA	NA	NA	NA
2183	6	1	44	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2184	6	1	44	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2185	6	1	44	F	Dahomey	Israel	1	P	275	11	13	NA	13	18	31	NA	NA
2186	6	1	44	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2187	6	1	44	F	Israel	Israel	1	P	245	10	7	1.100	19	24	43	NA	NA
2188	6	1	44	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2189	6	1	44	F	Sweden	Israel	1	L	251	10	13	1.124	21	45	66	NA	NA
2190	6	1	44	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2191	6	1	44	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA
2192	6	1	44	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0
2193	6	1	44	F	Brownsville	Sweden	1	L	275	11	13	NA	0	0	0	NA	NA
2194	6	1	44	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0
2195	6	1	44	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2196	6	1	44	M	Sweden	Dahomey	1	L	253	10	15	1.071	NA	NA	NA	58	81
2197	6	1	44	F	Israel	Sweden	1	N	NA	NA	NA	1.114	9	14	23	NA	NA
2198	6	1	44	M	Sweden	Israel	1	N	278	11	16	NA	NA	NA	NA	0	0
2199	6	1	44	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA
2200	6	1	44	M	Sweden	Sweden	1	P	274	11	12	NA	NA	NA	NA	0	0

Columns represent:

Individual: the focal fly being tested.

Block: the distinct peirod of time that the particular individual was tested.

Duplicate: Was the fly from the first independent mitochondrial duplicate copy or the second?

Replicate: A set of all possible combinations of the 5 haplotypes. Each replicate contained 25 cells.

Sex: was the focal individual female or male?

Focal_haplotype: what mtDNA haplotype did the focal individual carry?

Social_haplotype: what mtDNA haplotype did the social competitor of the focal individual carry?

Survived: did the focal individual die as a larva (L), as a pupa (P) or survive to adutlhood (N)?

Social_survival: did the social competitor die as a larva (L), as a pupa (P) or survive to adutlhood (N)?

Dev_time: how many hours did it take for the focal individual to progress from an egg to an adult. NA values indicate where individuals did not survive or development time could not be measured.

Day: how many days did it take the focal individual to develop?

Hours: lights were turned on at 7am every morning. How many hours did it take for individuals to eclose after this time?

Wing_length: what was the length in mm of the focal individuals right wing?

Maternal_female_offspring: how many adult female offspring did a focal female produce in a two day period?

Maternal_male_offspring: how many adult male offspring did a focal female produce in a two day period?

Maternal_total_offspring: how many adult offspring did a focal female produce in a two day period?

Paternal_focal_offspring: how many red-eye phenotype offspring were there across the two vials in the male adult fitness assay?

Paternal_bw_offspring: how many brown-eye phenotype offspring were there across the two vials in the male adult fitness assay?

R session information

This section provides information on the operating system and R packages attached during the production of this document, to allow easier replication of the analysis.

sessionInfo() %>% pander

R version 3.6.1 (2019-07-05)

Platform: x86_64-apple-darwin15.6.0 (64-bit)

locale: en_AU.UTF-8||en_AU.UTF-8||en_AU.UTF-8||C||en_AU.UTF-8||en_AU.UTF-8

attached base packages: stats, graphics, grDevices, utils, datasets, methods and base

other attached packages: forcats(v.0.4.0), stringr(v.1.4.0), pander(v.0.6.3), kableExtra(v.1.1.0), ggResidpanel(v.0.3.0), ggbeeswarm(v.0.6.0), ggpubr(v.0.2.2), magrittr(v.1.5), ggstance(v.0.3.2), ggExtra(v.0.8), ggridges(v.0.5.1), ggThemeAssist(v.0.1.5), ggplot2(v.3.2.1), MuMIn(v.1.43.6), dplyr(v.0.8.3), car(v.3.0-3), carData(v.3.0-2), brms(v.2.9.0), Rcpp(v.1.0.2), glmmTMB(v.0.2.3), lmerTest(v.3.1-0), lme4(v.1.1-21) and Matrix(v.1.2-17)

loaded via a namespace (and not attached): readxl(v.1.3.1), backports(v.1.1.4), plyr(v.1.8.4), igraph(v.1.2.4.1), lazyeval(v.0.2.2), TMB(v.1.7.15), splines(v.3.6.1), crosstalk(v.1.0.0), rstantools(v.1.5.1), inline(v.0.3.15), digest(v.0.6.20), qqplotr(v.0.0.3), htmltools(v.0.3.6), rsconnect(v.0.8.15), openxlsx(v.4.1.0.1), readr(v.1.3.1), matrixStats(v.0.54.0), xts(v.0.11-2), prettyunits(v.1.0.2), colorspace(v.1.4-1), rvest(v.0.3.4), haven(v.2.1.1), xfun(v.0.8), callr(v.3.3.1), crayon(v.1.3.4), jsonlite(v.1.6), zeallot(v.0.1.0), zoo(v.1.8-6), glue(v.1.3.1), gtable(v.0.3.0), webshot(v.0.5.1), pkgbuild(v.1.0.4), rstan(v.2.19.2), DEoptimR(v.1.0-8), abind(v.1.4-5), scales(v.1.0.0), miniUI(v.0.1.1.1), viridisLite(v.0.3.0), xtable(v.1.8-4), foreign(v.0.8-71), stats4(v.3.6.1), StanHeaders(v.2.18.1-10), DT(v.0.8), htmlwidgets(v.1.3), httr(v.1.4.1), threejs(v.0.3.1), pkgconfig(v.2.0.2), loo(v.2.1.0), tidyselect(v.0.2.5), labeling(v.0.3), rlang(v.0.4.0), reshape2(v.1.4.3), later(v.0.8.0), munsell(v.0.5.0), cellranger(v.1.1.0), tools(v.3.6.1), cli(v.1.1.0), evaluate(v.0.14), yaml(v.2.2.0), processx(v.3.4.1), knitr(v.1.24), zip(v.2.0.3), robustbase(v.0.93-5), purrr(v.0.3.2), nlme(v.3.1-140), mime(v.0.7), formatR(v.1.7), xml2(v.1.2.2), compiler(v.3.6.1), bayesplot(v.1.7.0), shinythemes(v.1.1.2), rstudioapi(v.0.10), beeswarm(v.0.2.3), plotly(v.4.9.0), curl(v.4.0), ggsignif(v.0.6.0), tibble(v.2.1.3), stringi(v.1.4.3), highr(v.0.8), ps(v.1.3.0), Brobdingnag(v.1.2-6), lattice(v.0.20-38), nloptr(v.1.2.1), markdown(v.1.1), shinyjs(v.1.0), vctrs(v.0.2.0), pillar(v.1.4.2), bridgesampling(v.0.7-2), data.table(v.1.12.2), cowplot(v.1.0.0), httpuv(v.1.5.1), R6(v.2.4.0), promises(v.1.0.1), gridExtra(v.2.3), rio(v.0.5.16), vipor(v.0.4.5), codetools(v.0.2-16), boot(v.1.3-22), colourpicker(v.1.0), MASS(v.7.3-51.4), gtools(v.3.8.1), assertthat(v.0.2.1), withr(v.2.1.2), shinystan(v.2.5.0), parallel(v.3.6.1), hms(v.0.5.0), grid(v.3.6.1), tidyr(v.0.8.3), coda(v.0.19-3), minqa(v.1.2.4), rmarkdown(v.1.14), numDeriv(v.2016.8-1.1), shiny(v.1.3.2), base64enc(v.0.1-3) and dygraphs(v.1.1.1.6)

References

Brooks, Mollie E, Kasper Kristensen, Koen J van Benthem, Arni Magnusson, Casper W Berg, Anders Nielsen, Hans J Skaug, Martin Maechler, and Benjamin M Bolker. 2017. “Modeling Zero-Inflated Count Data with glmmTMB.” Journal Article. BioRxiv, 132753.

Symonds, Matthew R. E., and Adnan Moussalli. 2011. “A Brief Guide to Model Selection, Multimodel Inference and Model Averaging in Behavioural Ecology Using Akaike’s Information Criterion.” Journal Article. Behavioral Ecology and Sociobiology 65 (1): 13–21. https://doi.org/10.1007/s00265-010-1037-6.